{"id":"W4234564634","doi":"10.1515/iupac.87.0154","title":"Conditioning, Operant","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Psychology; Computer science; Chemistry; Linguistics; Philosophy; Data mining","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":[0.001001098,0.001701575,0.0009954376,0.00228043,0.0006632177,0.001840097,0.002467417,0.001330063,0.1234593],"category_scores_gemma":[0.01004883,0.00049368,0.001498422,0.003030382,0.0004334972,0.001538799,0.00135602,0.001602407,0.0745848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123214,"about_ca_system_score_gemma":0.002426098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01821744,"about_ca_topic_score_gemma":0.03750522,"domain_scores_codex":[0.9988762,0.0002002961,0.0002318369,0.0003656504,0.0002196087,0.0001064601],"domain_scores_gemma":[0.9965403,0.001369146,0.0005346978,0.000699641,0.000661166,0.000194976],"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":[0.0005707128,0.00009703061,0.005197983,0.003083715,0.0001331351,0.00004939433,0.00003091159,0.0007201306,0.0002227372,0.0008961519,0.9695136,0.01948452],"study_design_scores_gemma":[0.0005311662,0.00009767363,0.0152853,0.000937164,0.0001178208,0.0001148753,0.00006778817,0.0005176397,0.0004782979,0.003340327,0.9784557,0.00005619896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003560812,0.0002152925,0.0001891059,0.00006935097,0.00004386163,0.00004073595,0.997104,0.0003479846,0.0016336],"genre_scores_gemma":[0.00164755,0.0002738789,0.0006698809,0.0001803591,0.00001920328,0.0002909704,0.9940736,0.0001151804,0.002729512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1234593,"threshold_uncertainty_score":0.4130124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074538778779732,"score_gpt":0.3725494526607309,"score_spread":0.3618040648729335,"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."}}