{"id":"W2058270997","doi":"10.1515/jpm.2011.057","title":"Historical notes on immaturity. Part 2: Surviving against the odds","year":2011,"lang":"en","type":"article","venue":"Journal of Perinatal Medicine","topic":"Birth, Development, and Health","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Dozen; Odds; Gestational age; Pediatrics; Demography; Birth weight; Abortion; Odds ratio; Pregnancy; Logistic regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00138548,0.0001792085,0.0005698648,0.0001884332,0.0001386018,0.000005176571,0.0001956077,0.00009813517,0.000371161],"category_scores_gemma":[0.0009808888,0.00008999146,0.0001186849,0.0001841619,0.000138191,0.00007979804,0.00003468039,0.0008344,0.00001737209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004071248,"about_ca_system_score_gemma":0.0002429204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009849828,"about_ca_topic_score_gemma":0.00001694255,"domain_scores_codex":[0.9981022,0.00007365907,0.0007026818,0.0001413782,0.0006909522,0.0002891612],"domain_scores_gemma":[0.9985776,0.0002145511,0.0003888165,0.0002378971,0.0002476572,0.0003334625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01231992,0.003694921,0.252983,0.003471272,0.001634996,0.01305639,0.08727886,0.000003388952,0.01633838,0.09460878,0.20309,0.3115201],"study_design_scores_gemma":[0.005975757,0.007804717,0.7161282,0.003218788,0.000232467,0.003277962,0.00168651,0.00002375618,0.002333031,0.002096164,0.2568627,0.0003599245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9387698,0.004112462,0.0001805248,0.02745952,0.004119437,0.0002325915,0.000001703472,0.00003082138,0.02509316],"genre_scores_gemma":[0.9819976,0.01215406,0.0004487675,0.002952755,0.002189954,0.000002384666,0.000001259388,0.00002202454,0.0002312167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4631452,"threshold_uncertainty_score":0.4063953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06469657593054597,"score_gpt":0.3007039866222485,"score_spread":0.2360074106917025,"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."}}