{"id":"W4241300429","doi":"10.1515/iupac.79.1753","title":"Parasympathomimetic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Psychotherapy Techniques and Applications","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; Linguistics","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":[0.0007002822,0.002008911,0.001530794,0.002230008,0.0007042697,0.001987854,0.001984827,0.001433325,0.09145375],"category_scores_gemma":[0.005881398,0.0004218957,0.002277621,0.003078904,0.0003200669,0.001340684,0.001569333,0.001722499,0.09087941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009179334,"about_ca_system_score_gemma":0.002534921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008940532,"about_ca_topic_score_gemma":0.02442616,"domain_scores_codex":[0.9990362,0.0001475754,0.0001871289,0.0003489087,0.0001786143,0.000101651],"domain_scores_gemma":[0.9984934,0.0005240236,0.0002318495,0.0003104576,0.0003080872,0.0001321787],"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":[0.0009800097,0.00009424054,0.003318685,0.005443154,0.0002244333,0.00008149743,0.00002888777,0.0005167465,0.0003949668,0.0007285085,0.9575056,0.03068325],"study_design_scores_gemma":[0.001011487,0.0001416442,0.01228229,0.001164817,0.0003227562,0.0003517815,0.00008470564,0.000718825,0.0007377491,0.002440517,0.9806874,0.00005608352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007002481,0.001009783,0.0002203583,0.0001226526,0.00008347657,0.00006441373,0.9947296,0.0004066777,0.002662826],"genre_scores_gemma":[0.002012537,0.0007336746,0.000831097,0.0002710992,0.00003860193,0.0003082231,0.9934806,0.00007841318,0.002245767],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09145375,"threshold_uncertainty_score":0.3059433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257739721993683,"score_gpt":0.4808098672779806,"score_spread":0.4582324700580437,"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."}}