{"id":"W4242096326","doi":"10.1515/iupac.73.0603","title":"Soap","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); Food science; Chemistry; Product (mathematics); Commission; Organic chemistry; Biochemistry; Polymer science; Computer science; Mathematics; Political science; Law; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001800317,0.004129418,0.002055843,0.005157871,0.001652618,0.004516063,0.003835479,0.002818671,0.05627981],"category_scores_gemma":[0.01202993,0.001197411,0.00295946,0.01027115,0.000663122,0.004700712,0.004867743,0.002534494,0.1246302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181788,"about_ca_system_score_gemma":0.004636678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02901499,"about_ca_topic_score_gemma":0.05416836,"domain_scores_codex":[0.9972454,0.0004534528,0.0005219265,0.0008638912,0.0006063704,0.0003088908],"domain_scores_gemma":[0.9960946,0.001169984,0.0003143029,0.001283376,0.000841572,0.0002961492],"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":[0.000226904,0.00003714867,0.0009645695,0.002883998,0.0001026832,0.00007084564,0.0000705292,0.001066666,0.000445808,0.002076143,0.9819806,0.0100742],"study_design_scores_gemma":[0.0001696286,0.00002655306,0.001772451,0.0005882268,0.00004111583,0.00008516807,0.00009607097,0.001425966,0.0007029795,0.006402997,0.9886307,0.0000582441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001593828,0.0001939564,0.0005952212,0.0001496411,0.00005718002,0.00004620662,0.9919153,0.005214022,0.001669092],"genre_scores_gemma":[0.0003979657,0.0001904036,0.001100797,0.00009075011,0.000006272042,0.00009503966,0.9973426,0.0003122718,0.0004638482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9437202,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734609709391163,"score_gpt":0.4307464994408265,"score_spread":0.4134004023469149,"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."}}