{"id":"W2013232579","doi":"10.1002/chin.200732255","title":"Aryl‐ and Hetarylketenes","year":2007,"lang":"en","type":"article","venue":"ChemInform","topic":"Coordination Chemistry and Organometallics","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Aryl; Combinatorial chemistry; World Wide Web; Organic chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001551119,0.000461979,0.0002124751,0.0003368163,0.000334213,0.0003471906,0.0003940242,0.0002107444,0.04378932],"category_scores_gemma":[0.0001121962,0.0001303765,0.0002092158,0.0003328479,0.0001442607,0.0005638596,0.0005260457,0.0006657346,0.008255068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003133911,"about_ca_system_score_gemma":0.0002827106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009161815,"about_ca_topic_score_gemma":0.001451546,"domain_scores_codex":[0.999817,0.00001735849,0.00001053005,0.00003335538,0.00003875807,0.00008312568],"domain_scores_gemma":[0.9999553,0.000004337112,0.000005856132,0.000009442115,0.00001009729,0.00001499916],"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":[0.001294386,0.0002585464,0.0005417889,0.001448865,0.00006404526,0.001189782,0.0003088566,0.001200817,0.8172313,0.06870155,0.0223406,0.08541956],"study_design_scores_gemma":[0.00008483366,0.00147267,0.002751532,0.0001289623,0.00005862838,0.001064104,0.0001921398,0.00105972,0.7561853,0.004935656,0.2319865,0.00008004384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3849512,0.0124158,0.0175243,0.001456065,0.001969826,0.0001707397,0.006217941,0.0008205237,0.5744736],"genre_scores_gemma":[0.8352147,0.0109799,0.003753405,0.0004869067,0.0001429841,0.00008469477,0.002865619,0.0001123019,0.1463595],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04378932,"threshold_uncertainty_score":0.1464899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009730260743900012,"score_gpt":0.2266621432780563,"score_spread":0.2169318825341563,"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."}}