{"id":"W2792006229","doi":"10.1089/bio.2017.0109","title":"Standard PREanalytical Code Version 3.0","year":2018,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Computer science; Code (set theory); Programming language","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":[0.01214909,0.002589785,0.002604414,0.009240567,0.0020036,0.005351765,0.004065899,0.003488956,0.3541912],"category_scores_gemma":[0.07561804,0.002726377,0.001807192,0.004617284,0.002433395,0.003116141,0.0046051,0.00500143,0.332127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701571,"about_ca_system_score_gemma":0.008069736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002141716,"about_ca_topic_score_gemma":0.001683028,"domain_scores_codex":[0.9835068,0.003293314,0.004288648,0.001929132,0.005734534,0.001247635],"domain_scores_gemma":[0.9477763,0.01927072,0.003192033,0.009972397,0.01884699,0.0009415325],"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":[0.002674381,0.0003345818,0.0030744,0.007427907,0.0001907762,0.0008235264,0.001240352,0.001599535,0.02208377,0.01155492,0.7425613,0.2064345],"study_design_scores_gemma":[0.0002157094,0.0001875192,0.003266583,0.002281066,0.00006789165,0.001228798,0.0003179974,0.001607654,0.02352464,0.01442361,0.9526515,0.0002270788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0100831,0.002775277,0.4068596,0.003174125,0.004397367,0.01285276,0.2236903,0.2568623,0.07930519],"genre_scores_gemma":[0.03195857,0.003889527,0.372519,0.006217268,0.001225731,0.03196042,0.2669718,0.1559914,0.1292663],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3541912,"threshold_uncertainty_score":0.9211678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04715415545029655,"score_gpt":0.3405276771910874,"score_spread":0.2933735217407908,"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."}}