{"id":"W2891600708","doi":"10.18438/eblip29505","title":"Open Data for Evidence Based Practice","year":2018,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Data science; World Wide Web; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.09475225,0.001062853,0.004656157,0.01280654,0.0031603,0.01432533,0.005506488,0.01357583,0.2456426],"category_scores_gemma":[0.5214711,0.001590306,0.004990282,0.01249596,0.005138326,0.01355637,0.01269364,0.01321628,0.0838946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007059004,"about_ca_system_score_gemma":0.03560732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002770792,"about_ca_topic_score_gemma":0.003168392,"domain_scores_codex":[0.8532818,0.06693088,0.03909385,0.005577318,0.03143055,0.003685656],"domain_scores_gemma":[0.4668283,0.2151121,0.03860803,0.07943018,0.1797751,0.0202462],"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":[0.001795365,0.0001465243,0.0007262319,0.06962632,0.000723364,0.0001401196,0.0003067631,0.0001407955,0.0002955229,0.03393453,0.5576581,0.3345062],"study_design_scores_gemma":[0.0004633933,0.0001581236,0.001075686,0.1049356,0.0005561382,0.0001375618,0.0003148965,0.00007065989,0.0003536547,0.02174605,0.8701351,0.00005315306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001266113,0.1036041,0.02343831,0.2902994,0.2071444,0.01437986,0.09171615,0.001345595,0.2668061],"genre_scores_gemma":[0.06615586,0.2365329,0.1006705,0.1746255,0.07056055,0.07104129,0.108272,0.003131308,0.1690101],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9944935,"threshold_uncertainty_score":0.8217563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2791390238033387,"score_gpt":0.5428888635036252,"score_spread":0.2637498397002865,"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."}}