{"id":"W4243640598","doi":"10.1515/iupac.73.0126","title":"Catalyst","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); Commission; Product (mathematics); Chemistry; Food science; Catalysis; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Database; 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":[0.001461189,0.002346973,0.00147867,0.004245599,0.001267441,0.004783507,0.003392468,0.002342896,0.1105846],"category_scores_gemma":[0.01210343,0.0007025482,0.001872102,0.006745121,0.0004761474,0.003368498,0.002621098,0.002289305,0.2017458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179274,"about_ca_system_score_gemma":0.00362696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02272237,"about_ca_topic_score_gemma":0.03779934,"domain_scores_codex":[0.9975358,0.0003816587,0.000303376,0.0009532564,0.0005125905,0.0003132356],"domain_scores_gemma":[0.9963918,0.0008829431,0.0002643129,0.001124102,0.00106651,0.0002703225],"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":[0.0001466318,0.00003050143,0.002149747,0.001055764,0.00005058495,0.00003084017,0.00003276932,0.000443337,0.0001429428,0.001861498,0.9840325,0.01002293],"study_design_scores_gemma":[0.00012975,0.00001868098,0.00213143,0.0004731473,0.00003575078,0.00006337203,0.00009137599,0.0005396469,0.0003762843,0.002651607,0.9934657,0.00002313544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002618446,0.0002511518,0.0003237131,0.0002063339,0.00008933289,0.00004273777,0.9939003,0.001079336,0.003845228],"genre_scores_gemma":[0.0006656307,0.0001898513,0.0006316235,0.000157407,0.00001486568,0.00009772748,0.9960483,0.000162928,0.002031768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8894154,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570482845870422,"score_gpt":0.4143447544654235,"score_spread":0.3986399260067192,"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."}}