{"id":"W4253633613","doi":"10.1515/iupac.73.0264","title":"Extraction","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); Chemistry; Commission; Food science; Biochemistry; Organic chemistry; Computer science; Mathematics; Political science; Data mining; 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":[0.00207287,0.003597106,0.002084906,0.007396409,0.001390372,0.004351169,0.003459929,0.003570813,0.0747426],"category_scores_gemma":[0.01575271,0.000811279,0.002757917,0.009943711,0.0007463678,0.004079566,0.002953464,0.002805048,0.1641567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002195951,"about_ca_system_score_gemma":0.004191562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01513157,"about_ca_topic_score_gemma":0.02315729,"domain_scores_codex":[0.9959919,0.0005880895,0.000729049,0.001608689,0.0006487987,0.0004335502],"domain_scores_gemma":[0.9955922,0.001219452,0.0003688026,0.001084611,0.001535203,0.0001997703],"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":[0.000213209,0.00004794122,0.002232838,0.002088928,0.00007808367,0.0000963292,0.00004287975,0.0004961772,0.0003851923,0.001249917,0.9784133,0.01465506],"study_design_scores_gemma":[0.000226325,0.00003969013,0.003316093,0.0008386391,0.00006810574,0.0001746471,0.0001796707,0.0008844453,0.0007843526,0.004576605,0.9888617,0.00004970781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002939096,0.0003311711,0.0005180038,0.0001453344,0.00009013437,0.00006631928,0.9960806,0.0008424101,0.001632147],"genre_scores_gemma":[0.0005288446,0.000169754,0.001116715,0.00008691884,0.00001651015,0.0001883889,0.9968689,0.00008240839,0.0009414942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9252574,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190731088241978,"score_gpt":0.4495002136784635,"score_spread":0.4304271048542657,"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."}}