{"id":"W4246956459","doi":"10.1515/iupac.73.0536","title":"Polymerization","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Polymer Science and PVC","field":"Materials Science","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; Law; Database","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":[0.001217839,0.002873427,0.001726337,0.003945716,0.001213217,0.003715868,0.002552529,0.001961768,0.08924883],"category_scores_gemma":[0.00554361,0.000923153,0.002097427,0.007645808,0.0004602263,0.002368816,0.002018404,0.002530762,0.173786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449288,"about_ca_system_score_gemma":0.002896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008790702,"about_ca_topic_score_gemma":0.01536595,"domain_scores_codex":[0.9980565,0.0002427418,0.0002147243,0.0007376224,0.0004912366,0.0002571122],"domain_scores_gemma":[0.9979961,0.0005442386,0.0003286326,0.0005046299,0.0004811391,0.0001453672],"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":[0.0002663139,0.00004428586,0.002254932,0.003960055,0.00009405219,0.00004182063,0.00004348284,0.00066005,0.0004775334,0.001639235,0.9730992,0.01741897],"study_design_scores_gemma":[0.0001369841,0.0000219943,0.003215204,0.0005711733,0.00004287829,0.000052005,0.00003144111,0.0003000443,0.0005551979,0.0019829,0.9930694,0.0000208463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001884429,0.0003090559,0.0001319606,0.00005348501,0.00002633394,0.00001462495,0.996859,0.0005630823,0.00185419],"genre_scores_gemma":[0.0004948227,0.0003195341,0.0004367405,0.00005286121,0.000007400215,0.00006504117,0.9974604,0.0001038699,0.001059403],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08924883,"threshold_uncertainty_score":0.2985671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284876568265642,"score_gpt":0.3860154991527168,"score_spread":0.3731667334700604,"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."}}