{"id":"W4406382951","doi":"10.1016/s0029-7437(07)70772-3","title":"10.1016/s0029-7437(07)70772-3","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Black box; Heart failure; Medicine; Computer science; Cardiology; 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":[0.001186449,0.002334706,0.001711732,0.002406841,0.001728689,0.003869429,0.002905936,0.004234395,0.9869927],"category_scores_gemma":[0.001798983,0.0008048962,0.001323856,0.002181031,0.001571859,0.003716173,0.002853594,0.002702397,0.9913224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005631,"about_ca_system_score_gemma":0.001427384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003163008,"about_ca_topic_score_gemma":0.002449234,"domain_scores_codex":[0.9993868,0.00004945624,0.00004832035,0.0002029778,0.0001748252,0.0001376342],"domain_scores_gemma":[0.9975708,0.0006278532,0.0001485064,0.0002472833,0.0004715006,0.0009339662],"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":[0.0003670538,0.000217735,0.0009776878,0.0004797721,0.00003623111,0.0002020281,0.0000844121,0.0004459506,0.00212561,0.005172566,0.3365749,0.6533161],"study_design_scores_gemma":[0.00005912278,0.0001121999,0.0008849624,0.0002533746,0.00001190074,0.0002643916,0.00008595499,0.000277075,0.0004054218,0.000664747,0.9969606,0.00002032468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005094866,0.0004694653,0.0008740798,0.0005673898,0.0004398609,0.0001049505,0.001004872,0.0008119915,0.9952179],"genre_scores_gemma":[0.0006669281,0.0001896616,0.0004283604,0.0001833426,0.00009802068,0.00005388463,0.0005446838,0.0001597504,0.9976752],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01300728,"threshold_uncertainty_score":0.0185532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005204174864767395,"score_gpt":0.1864908449183943,"score_spread":0.1812866700536269,"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."}}