{"id":"W4242663315","doi":"10.1515/iupac.88.0855","title":"Gestation","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001229885,0.001166669,0.001121768,0.003609904,0.0008029053,0.002955602,0.001980971,0.001423547,0.1634178],"category_scores_gemma":[0.01247051,0.000536213,0.001486068,0.006150668,0.0003451876,0.002171711,0.002320501,0.001542441,0.1729058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595261,"about_ca_system_score_gemma":0.00282361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01766102,"about_ca_topic_score_gemma":0.02827572,"domain_scores_codex":[0.9980066,0.0003300844,0.000458074,0.0006295821,0.0003700907,0.0002055423],"domain_scores_gemma":[0.9954675,0.001139661,0.0006209608,0.00105897,0.001412068,0.0003008248],"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":[0.0001224759,0.00001410859,0.002259657,0.001510142,0.00004258646,0.00002862704,0.00003848915,0.0001169449,0.0001024933,0.001261514,0.9839288,0.0105742],"study_design_scores_gemma":[0.00009118631,0.00001035316,0.003933034,0.0008685609,0.00002573922,0.00007209277,0.00006857884,0.0001010794,0.0001420074,0.001108366,0.9935596,0.00001936723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001370139,0.0001746194,0.0001190446,0.0001092596,0.00005268792,0.00002515901,0.9963604,0.0002327673,0.002789036],"genre_scores_gemma":[0.0005101057,0.0002089048,0.0003589467,0.0001881093,0.00001917447,0.0001130216,0.9964142,0.00008269563,0.002104818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1634178,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228391596396803,"score_gpt":0.4496917621818747,"score_spread":0.4274078462179067,"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."}}