{"id":"W4240564175","doi":"10.1515/iupac.83.0385","title":"Hit","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Computer science; Multidisciplinary approach; Process (computing); Data science; Component (thermodynamics); Management science; Sociology; Engineering; Biology; Linguistics; Social science; Mathematics","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":[0.001515757,0.001953934,0.001497678,0.003865483,0.001128579,0.003853965,0.003089663,0.001842328,0.148046],"category_scores_gemma":[0.008261398,0.000747564,0.001476041,0.006340489,0.0004316984,0.002433574,0.002947819,0.002140754,0.2323387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991431,"about_ca_system_score_gemma":0.002880795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01898846,"about_ca_topic_score_gemma":0.03856896,"domain_scores_codex":[0.9978599,0.0003638914,0.0003286485,0.0006673657,0.0005147745,0.000265302],"domain_scores_gemma":[0.9965391,0.0006040257,0.0003801792,0.001128637,0.001047158,0.0003008624],"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":[0.00008615421,0.00001563551,0.001229559,0.0005591806,0.00002759216,0.00002046962,0.00003187147,0.0001444772,0.00009396669,0.00106076,0.9930865,0.003643722],"study_design_scores_gemma":[0.0001368203,0.00001950362,0.003646726,0.0003606459,0.00002659747,0.00009089489,0.00009530754,0.0002149982,0.0003040925,0.001751037,0.9933261,0.00002733757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001456298,0.00006531429,0.0001256228,0.00006954859,0.0000255086,0.0000173254,0.9973071,0.0003937293,0.001850185],"genre_scores_gemma":[0.00027698,0.00004932688,0.0002390068,0.00006574851,0.000006071012,0.00005853306,0.9980779,0.00008461581,0.001141877],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.851954,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686528236541752,"score_gpt":0.4271677818982002,"score_spread":0.4103024995327827,"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."}}