{"id":"W2553708963","doi":"10.1007/s10854-016-6078-9","title":"Modeling of columnar recombination for high-energy photon generated electrons and holes in amorphous selenium","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Science Materials in Electronics","topic":"Glass properties and applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Recombination; Electron; Electric field; Amorphous solid; Yield (engineering); Photon; Photon energy; Free electron model; Charge (physics); Materials science; Field (mathematics); Condensed matter physics; Physics; Atomic physics; Chemistry; Optics; Crystallography; Thermodynamics; Quantum mechanics","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":[0.003750097,0.0001971063,0.0006019253,0.0004137725,0.0001265239,0.0001855605,0.0005385101,0.0001109675,0.00006169688],"category_scores_gemma":[0.0002306262,0.000140715,0.00003074012,0.0003870129,0.0003197642,0.000666797,0.00009292708,0.0000571377,0.000001656238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003746443,"about_ca_system_score_gemma":0.0005677451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000302747,"about_ca_topic_score_gemma":0.0001566017,"domain_scores_codex":[0.9971616,0.0001671706,0.001285276,0.0003555504,0.0003802436,0.0006502167],"domain_scores_gemma":[0.9984801,0.00007782997,0.0006874525,0.0002177532,0.0004595603,0.00007725083],"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":[0.0003259447,0.0001012061,0.00001662919,0.00003415931,0.000003322024,0.000001024495,0.00006496249,0.0005270334,0.9845657,0.0140664,0.00001195203,0.0002816952],"study_design_scores_gemma":[0.001221697,0.0006211262,0.0001037891,0.0001573733,0.00001377307,0.00003559667,0.00004810227,0.0004996564,0.9796876,0.01739316,0.00003949514,0.0001786021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953228,0.0002458369,0.003104555,0.0003737375,0.0005755411,0.0003007375,0.00005891982,0.00001283038,0.000005015086],"genre_scores_gemma":[0.9965751,0.0007710591,0.002425452,0.00003172242,0.00009080693,0.00006158894,0.000003181397,0.00002480106,0.00001631037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004878037,"threshold_uncertainty_score":0.5738191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283155892694707,"score_gpt":0.2360333514534648,"score_spread":0.2232017925265177,"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."}}