{"id":"W6958171197","doi":"10.6084/m9.figshare.24892825","title":"Additional file 1 of Geospatial analysis and participant characteristics associated with colorectal cancer screening participation in Alberta, Canada: a population-based cross-sectional study","year":2023,"lang":"en","type":"article","venue":"Open MIND","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"","keywords":"Colorectal cancer screening; Geospatial analysis; Cancer screening; Colorectal cancer; Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000979493,0.0007485083,0.00108365,0.003308854,0.002895517,0.001398052,0.002159373,0.000797061,0.3183411],"category_scores_gemma":[0.01224847,0.0006303002,0.0008800694,0.009218916,0.0004480704,0.0007135848,0.000869244,0.0006717342,0.01067767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007782598,"about_ca_system_score_gemma":0.02028996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9296836,"about_ca_topic_score_gemma":0.946938,"domain_scores_codex":[0.9993318,0.00006771741,0.00009785589,0.0001552028,0.0001660073,0.0001814055],"domain_scores_gemma":[0.9930505,0.002087506,0.0007426182,0.0005181681,0.003024107,0.0005770673],"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":[0.0005841203,0.0004258542,0.1885806,0.002326601,0.0002832685,0.0003210783,0.0009936653,0.001054047,0.0002146909,0.001557991,0.7860196,0.01763848],"study_design_scores_gemma":[0.001427765,0.0001873184,0.8456779,0.002501276,0.0004605688,0.0007452408,0.004579995,0.002088458,0.0003170879,0.001781271,0.1400587,0.0001744618],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.009146859,0.0000588024,0.0002325629,0.00009371494,0.00002640227,0.0003063165,0.988482,0.00004719073,0.001606194],"genre_scores_gemma":[0.1414949,0.0004741806,0.006113798,0.0004478723,0.00006522077,0.004802181,0.827724,0.000154499,0.01872325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3183411,"threshold_uncertainty_score":0.9723037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07757019379347868,"score_gpt":0.3398211015522236,"score_spread":0.2622509077587449,"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."}}