{"id":"W4398290684","doi":"10.7910/dvn/oiykme","title":"Evaluation of quality, readability, suitability, and usefulness of online resources available to cancer survivors","year":2022,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Readability; Quality (philosophy); Computer science; Cancer; Data science; Information retrieval; Medicine; Internal medicine; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.003394468,0.0008297516,0.0009288763,0.004416787,0.0007058225,0.001916098,0.001977022,0.000970073,0.063471],"category_scores_gemma":[0.02825189,0.00037007,0.001210622,0.006547153,0.0002343462,0.001778923,0.002228511,0.001066156,0.02818075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002311611,"about_ca_system_score_gemma":0.002094103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06216577,"about_ca_topic_score_gemma":0.1186096,"domain_scores_codex":[0.9973267,0.0005646587,0.0005858182,0.0003871398,0.0009158841,0.0002197441],"domain_scores_gemma":[0.9823596,0.006186063,0.002523322,0.001552943,0.006466455,0.0009115181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003092096,0.000120605,0.02196329,0.001578226,0.0001343949,0.00002257557,0.000134377,0.0003162527,0.00005283631,0.0006312591,0.9651899,0.009547068],"study_design_scores_gemma":[0.0009729982,0.0001755709,0.2660921,0.002594514,0.0003944946,0.000157814,0.001419013,0.001852176,0.0007308745,0.001754977,0.7236997,0.0001556895],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001578272,0.00007302483,0.00005154252,0.0001150466,0.00001249565,0.00004917448,0.9963814,0.00006475982,0.001674162],"genre_scores_gemma":[0.003571562,0.00005788113,0.0003076432,0.00005004218,0.000007394976,0.0003369611,0.9939749,0.00002699028,0.001666727],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.063471,"threshold_uncertainty_score":0.2123316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1667200488060979,"score_gpt":0.4676574729009716,"score_spread":0.3009374240948737,"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."}}