{"id":"W4399641001","doi":"10.32614/cran.package.canadianmaps","title":"canadianmaps: Effortlessly Create Stunning Canadian Maps","year":2022,"lang":"en","type":"dataset","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stunning; Myocardial stunning; Computer science; Medicine; Internal medicine; Ischemia","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":[],"consensus_categories":[],"category_scores_codex":[0.001535562,0.002497396,0.00142113,0.008508558,0.003535628,0.004231461,0.005334052,0.001364061,0.1377941],"category_scores_gemma":[0.01196171,0.001604516,0.001552136,0.02352779,0.0008324871,0.002072509,0.004035079,0.002911281,0.0777182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01547751,"about_ca_system_score_gemma":0.04299846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9457889,"about_ca_topic_score_gemma":0.978283,"domain_scores_codex":[0.9980479,0.0001112927,0.0001234996,0.0002767698,0.0009380491,0.0005024598],"domain_scores_gemma":[0.9926414,0.0005873181,0.0002041452,0.001250593,0.004399984,0.0009165826],"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":[0.00001620826,0.000004371476,0.0003048748,0.0001062197,0.00001062535,0.000008742832,0.00003968209,0.0001247808,0.00003975489,0.001028948,0.9961646,0.002151248],"study_design_scores_gemma":[0.00006356581,0.000002332919,0.002381986,0.000132613,0.00001606549,0.00001708574,0.0001144793,0.0003533568,0.0002483264,0.001508659,0.9951142,0.00004725788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001200035,0.00003430663,0.00034948,0.00009754091,0.00004175815,0.00002512937,0.9938777,0.001264804,0.00418927],"genre_scores_gemma":[0.0007331589,0.0001013524,0.002442067,0.0000730358,0.000007480099,0.0001259172,0.9925541,0.0009407215,0.003022147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1377941,"threshold_uncertainty_score":0.4609672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128762576964797,"score_gpt":0.2822066340256698,"score_spread":0.2609190082560218,"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."}}