{"id":"W1992336703","doi":"10.1210/en.2003-0193","title":"The Endocrinology and Physiology of Parturition: Understanding the Process through Mining Genome Databases","year":2003,"lang":"en","type":"review","venue":"Endocrinology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University Health Centre","keywords":"Genome; Database; Internal medicine; Process (computing); Endocrinology; Bioinformatics; Biology; Computational biology; Medicine; Genetics; Computer science; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002332854,0.001091367,0.00172815,0.00931153,0.000642936,0.003342191,0.001715626,0.001185947,0.001112822],"category_scores_gemma":[0.008895588,0.0004021182,0.00133998,0.01229918,0.0004818077,0.002523686,0.001408948,0.001105459,0.0008561694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016524,"about_ca_system_score_gemma":0.001626978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008012911,"about_ca_topic_score_gemma":0.01007187,"domain_scores_codex":[0.9984918,0.0003305085,0.0002145641,0.0005024014,0.0003866425,0.00007413772],"domain_scores_gemma":[0.9959548,0.002090435,0.0006686889,0.0005512637,0.0005434653,0.0001915296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004933118,0.000669277,0.1561423,0.01067427,0.002332472,0.00272549,0.001362959,0.01800785,0.02188881,0.01367853,0.06686915,0.7051557],"study_design_scores_gemma":[0.0001712099,0.0003351031,0.3118813,0.003501635,0.001653502,0.004561125,0.005127287,0.1724825,0.01443832,0.1326667,0.3528352,0.000346099],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2150848,0.1409709,0.3949126,0.01528061,0.000543266,0.001329464,0.2095561,0.0101453,0.01217679],"genre_scores_gemma":[0.279396,0.05438752,0.4542001,0.002387949,0.0003885051,0.0007387808,0.2058368,0.0006072353,0.002056996],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00931153,"threshold_uncertainty_score":0.01593256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08358648306407421,"score_gpt":0.3648696573953473,"score_spread":0.281283174331273,"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."}}