{"id":"W2138788388","doi":"10.1557/proc-0989-a22-03","title":"Structural Analysis of Nanocrystalline Silicon Prepared by Hot-wire Chemical Vapor Deposition on Polymer Substrates","year":2007,"lang":"en","type":"article","venue":"MRS Proceedings","topic":"Thin-Film Transistor Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Silane; Nanocrystalline material; Chemical vapor deposition; Nanocrystalline silicon; Crystallinity; Crystallite; Raman spectroscopy; Polycrystalline silicon; Conductivity; Silicon; Analytical Chemistry (journal); Chemical engineering; Amorphous solid; Substrate (aquarium); Plasma-enhanced chemical vapor deposition; Layer (electronics); Amorphous silicon; Composite material; Crystallography; Nanotechnology; Metallurgy; Optics; Crystalline silicon; Organic chemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008994501,0.0002286116,0.0003376185,0.0003215025,0.0000365576,0.00002620393,0.0002129116,0.0002296831,0.00002684049],"category_scores_gemma":[0.00002480346,0.0002244901,0.000135553,0.0008326017,0.00008983438,0.0001565683,0.00001468738,0.0001940876,0.000001595194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001195619,"about_ca_system_score_gemma":0.000005164834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000310084,"about_ca_topic_score_gemma":0.00001449953,"domain_scores_codex":[0.9987864,0.000001421262,0.0003754061,0.0002686257,0.0002451406,0.0003229992],"domain_scores_gemma":[0.9996293,0.00002733875,0.00008065967,0.0001242561,0.0000750489,0.00006337618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007709073,0.00002160302,0.001910721,0.00007973234,0.0002982789,0.000001940702,0.0003791262,0.0001626533,0.995552,0.0001488349,0.0003243699,0.001043638],"study_design_scores_gemma":[0.0002135007,0.00005907419,0.004278007,0.00002686353,0.0002687284,0.000003928566,0.0002415124,0.005067126,0.9895555,0.00003295696,0.00002698217,0.0002258551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977251,0.0004944741,0.0000965176,0.00003346288,0.00005894093,0.0001281432,0.00004104199,0.0008163289,0.0006060274],"genre_scores_gemma":[0.9994002,0.00001245735,0.0004112159,0.00001553035,0.00002260037,0.00000934299,0.00006048229,0.00003449665,0.00003365695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005996546,"threshold_uncertainty_score":0.9154439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006280858235701631,"score_gpt":0.2066371720276199,"score_spread":0.2003563137919183,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}