{"id":"W4236089419","doi":"10.1515/iupac.73.0380","title":"Lamb","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; Human nutrition; Organic chemistry; 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":[0.001119095,0.002027809,0.001323583,0.004073409,0.001002,0.003068353,0.002812649,0.002141851,0.1178668],"category_scores_gemma":[0.008182231,0.0006178237,0.001390908,0.006037745,0.0003869887,0.002601928,0.002278918,0.001625942,0.2121882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175331,"about_ca_system_score_gemma":0.002118545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01638743,"about_ca_topic_score_gemma":0.0313459,"domain_scores_codex":[0.9983521,0.0002457097,0.0001947577,0.0006383471,0.0003376521,0.0002315491],"domain_scores_gemma":[0.9973627,0.0006715877,0.0002731542,0.0006942194,0.0007991529,0.0001992393],"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":[0.0001279124,0.0000213117,0.001669881,0.0009449817,0.00003332333,0.00003184614,0.00003664668,0.0002187423,0.000148076,0.0008173285,0.98851,0.007439934],"study_design_scores_gemma":[0.00009311892,0.0000149684,0.003021789,0.0004171612,0.0000234404,0.00006454492,0.00008922211,0.000258694,0.0002409209,0.001648111,0.9941088,0.00001917429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001923704,0.0001364536,0.0001512577,0.000105038,0.00004128209,0.0000168585,0.9971969,0.0005459887,0.001613872],"genre_scores_gemma":[0.0004214291,0.0001259716,0.0003632374,0.0001019344,0.00001160732,0.00005619317,0.9972413,0.000124232,0.001554182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8821332,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686715879153023,"score_gpt":0.4219458544512662,"score_spread":0.405078695659736,"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."}}