{"id":"W6931099408","doi":"10.5281/zenodo.3867206","title":"Stenophyllum primitivum Verhoeff 1897","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Distribution (mathematics); Litter; Habitat; Population","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":[0.0001613837,0.0006799407,0.0004241046,0.001522601,0.001442871,0.0006572967,0.0006119611,0.0008152366,0.01546793],"category_scores_gemma":[0.0007862767,0.0003168692,0.0001625593,0.001047656,0.0005315294,0.001430723,0.001173286,0.0005400201,0.00675955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004188436,"about_ca_system_score_gemma":0.0002651502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00788945,"about_ca_topic_score_gemma":0.008686204,"domain_scores_codex":[0.9997095,0.00003427138,0.00003548415,0.0000691623,0.00008162449,0.0000698902],"domain_scores_gemma":[0.9996387,0.0001184614,0.0001312746,0.0000201041,0.00005442918,0.00003695789],"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":[0.0005456701,0.0002159916,0.03215223,0.001524101,0.000122475,0.01470933,0.00231038,0.001863579,0.05343112,0.0120096,0.03712516,0.8439904],"study_design_scores_gemma":[0.0001584549,0.0003848694,0.214,0.001044411,0.0001501353,0.02665401,0.002532757,0.001178636,0.01098417,0.005773768,0.7370491,0.00008970471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3113732,0.03119136,0.009728114,0.001203344,0.001964472,0.0005033651,0.00651051,0.0007856485,0.6367399],"genre_scores_gemma":[0.934413,0.007164631,0.004037017,0.0006233718,0.0003940214,0.0001585302,0.003784531,0.00005599554,0.04936907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01546793,"threshold_uncertainty_score":0.05174541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04873066666668582,"score_gpt":0.2795980777012856,"score_spread":0.2308674110345998,"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."}}