{"id":"W7100203223","doi":"","title":"Key Words: statistical functions, processing tools,","year":2015,"lang":"en","type":"article","venue":"","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Set (abstract data type); Key (lock); Software; Promotion (chess); Agency (philosophy)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01298125,0.001245935,0.0006241612,0.004324575,0.001083051,0.004535124,0.001632545,0.001369543,0.0497718],"category_scores_gemma":[0.04719636,0.0003422922,0.0005731232,0.008215345,0.003458626,0.005325965,0.001639065,0.00210424,0.04233538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002096887,"about_ca_system_score_gemma":0.005062176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004137114,"about_ca_topic_score_gemma":0.003221639,"domain_scores_codex":[0.9938118,0.002869281,0.0007457967,0.0006326478,0.001755581,0.0001848379],"domain_scores_gemma":[0.9595702,0.03128465,0.001247004,0.002565807,0.004664981,0.0006674799],"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":[0.0001365342,0.00008822188,0.002472105,0.001110335,0.00003086342,0.0003851056,0.0005130293,0.001748136,0.00156343,0.2164063,0.1384703,0.6370757],"study_design_scores_gemma":[0.00003613868,0.0001198676,0.00477603,0.0006797523,0.00004237896,0.001414905,0.0008192504,0.008458477,0.00316556,0.2726154,0.707796,0.00007631524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003833249,0.005638238,0.8299891,0.01094274,0.001540915,0.0004765237,0.002922992,0.01122031,0.133436],"genre_scores_gemma":[0.06840568,0.009170814,0.826874,0.003853077,0.002407364,0.0008869538,0.003148616,0.003651309,0.08160228],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9502282,"threshold_uncertainty_score":0.1665033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09935562002714253,"score_gpt":0.3499266422529429,"score_spread":0.2505710222258004,"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."}}