{"id":"W4247856547","doi":"10.1515/iupac.88.0640","title":"Corpus Luteum","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002272291,0.0008741487,0.001114516,0.00004136664,0.0005553828,0.0002241075,0.001456204,0.0009260806,0.009087493],"category_scores_gemma":[0.001177069,0.0008479423,0.0004055835,0.00005387992,0.0004346199,0.00008118512,0.0006814845,0.001292482,0.000006954499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004414542,"about_ca_system_score_gemma":0.000670972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001192134,"about_ca_topic_score_gemma":0.000231977,"domain_scores_codex":[0.9965676,0.00001216462,0.0006186927,0.0009426607,0.001169942,0.0006889214],"domain_scores_gemma":[0.9957453,0.0001027354,0.0007246917,0.00268126,0.0004733543,0.0002726742],"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":[0.0001600997,0.0002425478,0.00003779111,0.001759263,0.000367979,0.0003867543,0.00001117368,4.023841e-7,0.001330623,3.363066e-7,0.9946501,0.001052882],"study_design_scores_gemma":[0.0009272534,0.0000224178,0.000005453472,0.0007332687,0.0002899878,0.00009168551,0.00005035756,0.000001992626,0.007503898,0.00005351195,0.9894419,0.0008783149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008020999,0.002353369,0.000001836429,0.000249958,0.0005465887,0.00006617628,0.9910005,0.000137484,0.004841981],"genre_scores_gemma":[0.000164231,0.001626477,0.00001452294,0.00007321559,0.002563695,0.00002592736,0.978996,0.00005488549,0.01648105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01200451,"threshold_uncertainty_score":0.9993972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856970502759317,"score_gpt":0.4014050978955822,"score_spread":0.3828353928679891,"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."}}