{"id":"W6904308176","doi":"10.1371/journal.pone.0047470.t002","title":"Demographics of the parents in the study cohort.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Interquartile range; Public health; MEDLINE; Affect (linguistics); Health insurance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010267,0.0009111536,0.001074425,0.001347496,0.0005537167,0.0007983095,0.00127603,0.0008868661,0.0802451],"category_scores_gemma":[0.008048618,0.000528662,0.000767567,0.003025659,0.0002173873,0.0007911556,0.0009739941,0.001224366,0.02458755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007959805,"about_ca_system_score_gemma":0.001384946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03216506,"about_ca_topic_score_gemma":0.03790763,"domain_scores_codex":[0.9992707,0.0001349586,0.0001193407,0.0002845096,0.00008934674,0.0001010813],"domain_scores_gemma":[0.9974381,0.0009127064,0.0004903458,0.0004702529,0.0004727787,0.0002158519],"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":[0.0003855543,0.00005348689,0.03489424,0.0006541382,0.0001717249,0.00007385458,0.00009213898,0.0002918391,0.0001156268,0.0006845016,0.9574619,0.005120905],"study_design_scores_gemma":[0.001610368,0.0001358953,0.2552775,0.00236442,0.0004520699,0.000678746,0.0007778927,0.001052669,0.0004764838,0.003486462,0.7335815,0.000106014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002016689,0.0001610604,0.0001667745,0.00007766897,0.0000315277,0.00003669123,0.9965061,0.00006385215,0.0009396647],"genre_scores_gemma":[0.01644972,0.0004802783,0.0006301617,0.0003432759,0.00003725587,0.0009162816,0.9772558,0.0001136557,0.003773596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0802451,"threshold_uncertainty_score":0.2684466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0354261456214669,"score_gpt":0.2884567970295165,"score_spread":0.2530306514080496,"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."}}