{"id":"W4241498522","doi":"10.1515/iupac.83.0335","title":"Background","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); Computer science; Field (mathematics); Multidisciplinary approach; Process (computing); Data science; Management science; Sociology; Engineering; Biology; Linguistics; Mathematics; Social science","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":[0.002425218,0.001671035,0.001258693,0.004608575,0.001203201,0.003545065,0.002800123,0.001850232,0.1227923],"category_scores_gemma":[0.0166096,0.0006549865,0.001454868,0.008965739,0.000626295,0.002504393,0.002235783,0.002442661,0.1473629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002197576,"about_ca_system_score_gemma":0.004128281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02523401,"about_ca_topic_score_gemma":0.04071838,"domain_scores_codex":[0.9962848,0.0006634127,0.0006688053,0.001165201,0.0007720925,0.0004456915],"domain_scores_gemma":[0.9935437,0.001601026,0.000918694,0.00140281,0.002087219,0.00044648],"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":[0.0001093663,0.00002861435,0.002742767,0.0008423233,0.00003056734,0.00003549314,0.00005459757,0.0001978692,0.00009349192,0.001908416,0.9885147,0.005441901],"study_design_scores_gemma":[0.0001002518,0.00001365013,0.005156409,0.0007106143,0.00002679328,0.0001152933,0.0001371743,0.0001453814,0.0001524022,0.001940494,0.9914721,0.00002953191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002673583,0.0001362296,0.0002275274,0.0001391955,0.00003958063,0.00004279377,0.996246,0.0001794674,0.002721714],"genre_scores_gemma":[0.0005193533,0.0001175552,0.0005680959,0.000167089,0.00001472858,0.00023993,0.9966123,0.00007094833,0.001689988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8772078,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681717427960188,"score_gpt":0.4326457085625568,"score_spread":0.4058285342829549,"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."}}