{"id":"W6977022844","doi":"10.6084/m9.figshare.1056535.v1","title":"Health Technology Assessment on the Net: 2014","year":2014,"lang":"en","type":"article","venue":"Figshare","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relevance (law); Health technology; Technology assessment; Health information technology; Information technology; MEDLINE","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":[0.007369574,0.001050746,0.001698492,0.01145684,0.0006075045,0.005735723,0.001889857,0.00245258,0.3228498],"category_scores_gemma":[0.02769012,0.001159444,0.001586439,0.01524291,0.000698216,0.005318329,0.003513686,0.003530788,0.1913109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00400885,"about_ca_system_score_gemma":0.008155828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008401727,"about_ca_topic_score_gemma":0.01722436,"domain_scores_codex":[0.9958347,0.001022194,0.001451308,0.0002540049,0.001226504,0.0002113029],"domain_scores_gemma":[0.9827802,0.009749376,0.001712234,0.000857615,0.003696675,0.001203957],"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":[0.00006493938,0.00001973721,0.0001497826,0.005151616,0.00002414894,0.00002357882,0.00007175861,0.000298369,0.0001375393,0.005507845,0.8732054,0.1153453],"study_design_scores_gemma":[0.00004119086,0.00001689926,0.0007824442,0.002912962,0.00001812713,0.00004157462,0.0000355416,0.0001304651,0.00009372587,0.003490097,0.9924164,0.0000205423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008158954,0.0146533,0.01633377,0.01470709,0.00297686,0.004296266,0.668162,0.008579622,0.2694752],"genre_scores_gemma":[0.0065121,0.04749344,0.1206279,0.01720156,0.001836968,0.01372123,0.474782,0.007092178,0.3107327],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3228498,"threshold_uncertainty_score":0.9658726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434373858515644,"score_gpt":0.3165853946809029,"score_spread":0.2822416560957465,"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."}}