{"id":"W4233539461","doi":"10.1515/iupac.79.0756","title":"Activation (Abiotic)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Psychology, Coaching, and Therapy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Computer science; Multidisciplinary approach; Toxicology; Chemistry; Biology; Philosophy; Political science; Linguistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007956204,0.003485784,0.001577722,0.00258579,0.001171289,0.003220221,0.002557125,0.001669307,0.1099406],"category_scores_gemma":[0.004846923,0.0006832904,0.002944789,0.003870812,0.000382338,0.002156383,0.0021984,0.00191273,0.1813063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145658,"about_ca_system_score_gemma":0.002226045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01919603,"about_ca_topic_score_gemma":0.04373207,"domain_scores_codex":[0.9985959,0.0001842622,0.0002004244,0.000539406,0.0002911679,0.0001888294],"domain_scores_gemma":[0.9985575,0.0003304411,0.0001502688,0.0004523914,0.0003861732,0.0001232923],"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":[0.0002491701,0.00004409138,0.002918768,0.001822979,0.00008215904,0.00003671801,0.00003349631,0.0004354612,0.0002759951,0.0007287761,0.9817597,0.01161281],"study_design_scores_gemma":[0.0001819923,0.00003257873,0.005382368,0.0003221907,0.00006540272,0.0001001159,0.00007658965,0.0004698992,0.0004405549,0.00143349,0.9914606,0.00003430567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004798908,0.0004384257,0.0002190096,0.0001104396,0.00008578936,0.00004055794,0.9944305,0.001034935,0.003160546],"genre_scores_gemma":[0.0009078126,0.0002459312,0.0005299763,0.0001463103,0.00001754312,0.0001070426,0.9956917,0.0001304978,0.002223216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1099406,"threshold_uncertainty_score":0.367788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659899282327889,"score_gpt":0.4674435967106246,"score_spread":0.4408446038873457,"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."}}