{"id":"W4234517002","doi":"10.1515/iupac.73.0495","title":"Pc","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Commission; Chemistry; Food science; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Data mining; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009451457,0.002177768,0.001528926,0.004009665,0.00101358,0.004155859,0.002876766,0.002017061,0.1997943],"category_scores_gemma":[0.009875281,0.0006394534,0.001387128,0.007216173,0.0004443325,0.002838859,0.002731345,0.001611469,0.3536119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294857,"about_ca_system_score_gemma":0.002838518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01814015,"about_ca_topic_score_gemma":0.02865388,"domain_scores_codex":[0.9982091,0.0002414317,0.0001795846,0.000794677,0.0003410648,0.0002341727],"domain_scores_gemma":[0.9970998,0.0006108112,0.0002567862,0.0008959197,0.0008855622,0.0002512979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000908718,0.0000136835,0.001058364,0.0007361301,0.00003093981,0.00001911207,0.0000219776,0.0001807608,0.0000949479,0.0007831585,0.9898136,0.007156475],"study_design_scores_gemma":[0.00009631211,0.00001475081,0.002053263,0.0003935437,0.00002367532,0.00005371026,0.00005360653,0.0002782419,0.0002452411,0.002012895,0.994755,0.00001970171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009208362,0.00008621317,0.0001343539,0.00007978611,0.0000380112,0.00001453896,0.9972409,0.000630713,0.001683383],"genre_scores_gemma":[0.0003254628,0.00009587833,0.000279121,0.00007609436,0.00001216644,0.00005491796,0.9976267,0.0001351469,0.001394574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8002057,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748082790862433,"score_gpt":0.4296587374412436,"score_spread":0.4121779095326193,"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."}}