{"id":"W4406448073","doi":"10.1016/j.yobg.2013.05.207","title":"10.1016/j.yobg.2013.05.207","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Pregnancy-related medical research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Childbirth; Resolution (logic); Obstetrics; Pregnancy; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000716333,0.0009872561,0.000573337,0.001673432,0.001147009,0.002792926,0.0008671457,0.00343039,0.9078286],"category_scores_gemma":[0.001468734,0.0004460459,0.0005342109,0.0007612344,0.000920596,0.001965115,0.00140521,0.001552171,0.8532147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008541237,"about_ca_system_score_gemma":0.001461285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002895692,"about_ca_topic_score_gemma":0.003117448,"domain_scores_codex":[0.9997485,0.00002968631,0.0000171489,0.00006458622,0.00006925054,0.00007073124],"domain_scores_gemma":[0.9990286,0.0001691583,0.0001127204,0.00005400662,0.0001996675,0.0004359101],"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":[0.0002529088,0.0002690903,0.003923746,0.0003548716,0.00002754151,0.0003686031,0.0001241351,0.00008451413,0.0005160703,0.003801557,0.3907264,0.5995505],"study_design_scores_gemma":[0.00006669667,0.0001248452,0.005499606,0.001149827,0.00003309637,0.002242032,0.000314243,0.0001333296,0.0002586523,0.004265665,0.9858879,0.00002410889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004131861,0.01699207,0.001209263,0.01243478,0.003369614,0.00009873555,0.002700526,0.001072673,0.9579906],"genre_scores_gemma":[0.01061669,0.007053139,0.001135884,0.002917234,0.001152026,0.00007426651,0.001254588,0.0002400207,0.9755561],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09217137,"threshold_uncertainty_score":0.1314713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146412804968472,"score_gpt":0.2407862941675183,"score_spread":0.2293221661178336,"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."}}