{"id":"W4231414247","doi":"10.1515/iupac.81.0184","title":"Community","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Biology; Data mining; Linguistics; Philosophy","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":[0.002407893,0.001667021,0.001714033,0.005823299,0.001867656,0.004777577,0.003988446,0.002418262,0.1488219],"category_scores_gemma":[0.0210581,0.0006342367,0.001380359,0.01097292,0.0005608545,0.004584223,0.005145566,0.002558869,0.2204721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002060564,"about_ca_system_score_gemma":0.004261862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02399589,"about_ca_topic_score_gemma":0.04898167,"domain_scores_codex":[0.9954453,0.000875178,0.0005266155,0.001583123,0.0009996104,0.0005702353],"domain_scores_gemma":[0.9919615,0.001647897,0.0005451949,0.002267472,0.002759555,0.0008184119],"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":[0.00006474336,0.00001378706,0.000915472,0.0004052535,0.00001395275,0.00001538488,0.00003669659,0.00008408309,0.0000445098,0.0009276198,0.9922465,0.005231848],"study_design_scores_gemma":[0.00006823202,0.000006713663,0.001197121,0.0002831896,0.00001021825,0.00004076085,0.0001263985,0.0001930198,0.00008989654,0.001687374,0.9962816,0.00001553872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001890453,0.0001679407,0.0002164525,0.0002884238,0.00008857527,0.0000463043,0.9940256,0.0006108282,0.004366785],"genre_scores_gemma":[0.0004555755,0.0001080965,0.0005906917,0.0002100562,0.00001728027,0.0001501032,0.9961671,0.0001277706,0.002173346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1488219,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009120051657728756,"score_gpt":0.3401181358447624,"score_spread":0.3309980841870336,"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."}}