{"id":"W299900682","doi":"10.1107/s1600536805001352","title":"Methylchlorosila[1]ferrocenophane","year":2005,"lang":"en","type":"article","venue":"Acta Crystallographica Section E Structure Reports Online","topic":"Ferrocene Chemistry and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009703752,0.0004152479,0.0003601304,0.0001485324,0.0003224963,0.00006409253,0.000254121,0.0004606966,0.003126661],"category_scores_gemma":[0.0001091435,0.0004023555,0.0002392855,0.0006387528,0.0001623333,0.000268252,0.00007939721,0.0006946558,1.093772e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009348088,"about_ca_system_score_gemma":0.0000851553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002852616,"about_ca_topic_score_gemma":0.000176257,"domain_scores_codex":[0.9975509,0.0000123151,0.0007428603,0.0008082148,0.0004178681,0.0004678246],"domain_scores_gemma":[0.9980589,0.00004873343,0.0004689722,0.000937549,0.0002154183,0.0002704949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002750659,0.0001987269,0.0011421,0.00007888525,0.00008759295,0.00003287453,0.00005407964,0.0001736203,0.9951791,0.00000631858,0.001138065,0.001881154],"study_design_scores_gemma":[0.0003475772,0.00001918336,0.001781565,0.00003203716,0.000107488,0.00183805,0.0001346843,0.0001497262,0.0502907,0.001076671,0.9436938,0.000528565],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915574,0.0002702296,0.0001151804,0.001532477,0.0002137118,0.0001125411,0.0001866109,0.0005819299,0.005429876],"genre_scores_gemma":[0.9925733,0.0001284825,0.002478401,0.000254657,0.002007077,0.00003002461,0.001224481,0.00006512765,0.001238404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9448884,"threshold_uncertainty_score":0.9998428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008161358504340698,"score_gpt":0.2452045782875549,"score_spread":0.2370432197832142,"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."}}