{"id":"W2051940038","doi":"10.1136/bmj.39177.453102.db","title":"Profiling placental function may help identify complications of pregnancy","year":2007,"lang":"en","type":"article","venue":"BMJ","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Pregnancy; Computer science; Profiling (computer programming); Medicine; Obstetrics; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001991026,0.0004134607,0.0007809827,0.00321744,0.0006953308,0.001221868,0.000480635,0.001071173,0.003542157],"category_scores_gemma":[0.01107133,0.0001765642,0.000783612,0.002277296,0.0004123757,0.001246265,0.0005979158,0.001282303,0.0006811874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006081325,"about_ca_system_score_gemma":0.0008896166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932756,"about_ca_topic_score_gemma":0.02016948,"domain_scores_codex":[0.9992511,0.0003169513,0.00008211558,0.00006867285,0.0001653915,0.0001159275],"domain_scores_gemma":[0.9966619,0.001496508,0.0007286064,0.0002687447,0.0005043233,0.0003399083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005462441,0.000235003,0.8440333,0.0004965952,0.0002048154,0.0005745392,0.0005317663,0.000154052,0.001517542,0.0008961603,0.008978001,0.141832],"study_design_scores_gemma":[0.00005756267,0.001061911,0.9729878,0.0005167722,0.0002490513,0.002440516,0.001281159,0.0001816279,0.001566082,0.002556441,0.01703954,0.00006162612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7248392,0.1402166,0.005974801,0.05152369,0.002084139,0.0003814551,0.005445291,0.0003867154,0.06914798],"genre_scores_gemma":[0.9146273,0.05824582,0.008133722,0.0100481,0.0009502082,0.0001653095,0.0009697277,0.00003627091,0.006823631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01932756,"threshold_uncertainty_score":0.03843009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05074876341468113,"score_gpt":0.3539026306175281,"score_spread":0.3031538672028469,"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."}}