{"id":"W2005051071","doi":"10.1002/macp.200490001","title":"Metal‐ and Metalloid‐Containing Macromolecules Symposium","year":2004,"lang":"en","type":"article","venue":"Macromolecular Chemistry and Physics","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Macromolecule; Polymer science; Section (typography); Library science; Metalloid; Chemistry; Metal; Polymer chemistry; Nanotechnology; Materials science; Organic chemistry; Computer science; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001614278,0.0002685332,0.000283029,0.00000708293,0.0001869257,0.0001564143,0.0001717781,0.00009638182,0.00004587061],"category_scores_gemma":[0.00001187111,0.0002634711,0.00007223702,0.0001027535,0.0002055247,0.0001372426,0.0001343767,0.0001843517,0.000008135663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003567603,"about_ca_system_score_gemma":0.00003996294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003608517,"about_ca_topic_score_gemma":0.000001394363,"domain_scores_codex":[0.9987384,0.0000271176,0.0001869897,0.0004748017,0.0001874043,0.0003852739],"domain_scores_gemma":[0.99945,0.00001550176,0.00008376922,0.000274196,0.0000375234,0.0001390651],"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":[0.00001996974,0.00004902571,0.00002267934,0.00007292344,0.00002543125,0.00005537495,0.0001460336,0.00001005011,0.9937849,0.005409247,0.000005264779,0.0003990955],"study_design_scores_gemma":[0.0003852904,0.0001000001,0.0000129087,0.00003571158,0.00006411038,0.0001106221,0.00004272065,0.00002963124,0.9811728,0.01733246,0.0004097134,0.0003040124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821823,0.0009276421,0.01196228,0.000238409,0.00002937397,0.0001182387,0.0000145939,0.0001890342,0.004338135],"genre_scores_gemma":[0.9912155,0.0001583506,0.008098315,0.0002480752,0.00008196595,0.00002423459,0.00001942837,0.00003203441,0.0001220481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01261208,"threshold_uncertainty_score":0.9999818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005804630005924283,"score_gpt":0.2327320174243778,"score_spread":0.2269273874184535,"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."}}