{"id":"W7108690823","doi":"10.17605/osf.io/x7edn","title":"Study Protocol – Creating an Asset Map of Health Data Platforms in Canada","year":2025,"lang":"","type":"other","venue":"Arabixiv (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Health data; Asset (computer security); Data collection; Data mapping; Protocol (science); Data access; Data integration; Data discovery","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06190303,0.001148294,0.001683387,0.01061858,0.00954152,0.009601332,0.004502879,0.003071062,0.07743425],"category_scores_gemma":[0.09718256,0.001693888,0.002118013,0.01176709,0.003390632,0.003460213,0.005272246,0.004418254,0.01156152],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0690215,"about_ca_system_score_gemma":0.2909499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.645375,"about_ca_topic_score_gemma":0.7702166,"domain_scores_codex":[0.969296,0.0100425,0.004835743,0.003004506,0.009585228,0.003235909],"domain_scores_gemma":[0.8928781,0.018889,0.00721736,0.009594163,0.06479599,0.00662529],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002893378,0.0008215297,0.01922272,0.02852687,0.0003737513,0.001034725,0.01769978,0.00390898,0.0009020042,0.04596301,0.6613245,0.2173287],"study_design_scores_gemma":[0.002190708,0.0004310555,0.03842266,0.03182557,0.0003566601,0.0001910406,0.01398132,0.001731769,0.001039581,0.009754262,0.8997998,0.0002756429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.008382823,0.001558783,0.02095655,0.00754651,0.001393571,0.7288718,0.1880451,0.0005586867,0.04268612],"genre_scores_gemma":[0.01822719,0.000971119,0.04274828,0.003712246,0.0001877977,0.8980061,0.02656559,0.0001645312,0.00941714],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.9380969,"threshold_uncertainty_score":0.7134269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0678311758254343,"score_gpt":0.3675545722831844,"score_spread":0.2997233964577501,"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."}}