{"id":"W3213363300","doi":"10.5281/zenodo.3633022","title":"Popline and K4Health Web Archive collection derivatives","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"World Wide Web; Computer science; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003625954,0.001324988,0.001127913,0.006410156,0.001977422,0.006759819,0.003194787,0.001284181,0.4620212],"category_scores_gemma":[0.01865768,0.001487284,0.001126504,0.00886581,0.0008837197,0.006832207,0.006261375,0.002778482,0.4488613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002559395,"about_ca_system_score_gemma":0.004834916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01724329,"about_ca_topic_score_gemma":0.01455489,"domain_scores_codex":[0.9966984,0.0006127607,0.0003411628,0.0004614553,0.001556297,0.0003298998],"domain_scores_gemma":[0.9855482,0.002371373,0.0006063149,0.004553361,0.005584679,0.001336026],"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":[0.0001071342,0.00001793339,0.0001960136,0.0001760236,0.000005814336,0.00005276575,0.0001139686,0.00006182364,0.0002433394,0.00186045,0.9770235,0.02014107],"study_design_scores_gemma":[0.00001898454,0.000007906465,0.0005030443,0.00004948091,0.000004340156,0.00008371796,0.00006611591,0.0001123456,0.0004877103,0.0008376181,0.9978097,0.00001908908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001963856,0.0005526604,0.03034095,0.00236653,0.001095696,0.0007152686,0.4664401,0.1917214,0.3048037],"genre_scores_gemma":[0.006624119,0.0006227999,0.02726333,0.001028763,0.0003760127,0.0009394013,0.6093348,0.07418138,0.2796294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4620212,"threshold_uncertainty_score":0.7673615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073376312118046,"score_gpt":0.4548129003278215,"score_spread":0.3474752691160169,"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."}}