{"id":"W4232896364","doi":"10.1515/iupac.73.0309","title":"Goose","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Commission; Food science; Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Mathematics; Political science; Database; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007088434,0.001863826,0.001489751,0.004002678,0.0008465794,0.002850796,0.002871503,0.002014546,0.09314778],"category_scores_gemma":[0.007041182,0.0005658005,0.001320332,0.008245056,0.000401109,0.002214189,0.002588869,0.001498908,0.1476922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165714,"about_ca_system_score_gemma":0.002268126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02337848,"about_ca_topic_score_gemma":0.04778292,"domain_scores_codex":[0.9988951,0.0001689845,0.0001279248,0.0004353011,0.0001988837,0.0001739175],"domain_scores_gemma":[0.9982817,0.0004315042,0.0002105948,0.0004219396,0.0004742364,0.000179944],"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":[0.0001664415,0.00002074867,0.001821231,0.001430626,0.00005399418,0.00004267366,0.00004699398,0.0003181872,0.0001268639,0.001026116,0.9893335,0.005612729],"study_design_scores_gemma":[0.0001312511,0.00001624765,0.003121791,0.0004866515,0.00003715338,0.0000735221,0.00009002653,0.000241509,0.0001825692,0.001890887,0.9937055,0.00002299391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001412589,0.000127774,0.00006727669,0.00007087988,0.0000191811,0.000009395105,0.9982197,0.0003202156,0.001024472],"genre_scores_gemma":[0.0003428483,0.00010813,0.0001962563,0.0000672927,0.000004890013,0.00003697093,0.9985009,0.00007314089,0.0006695513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9068522,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691309798114947,"score_gpt":0.4282017563518404,"score_spread":0.411288658370691,"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."}}