{"id":"W6894462223","doi":"10.5683/sp3/yaqqbg","title":"UNI-CEN Boundaries (CBF-Original Shorelines) - Province/Territory (PR) - 1986 - File Geodatabase format (NAD83 CSRS / EPSG:3348)","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"File format; Shapefile; North American Datum of 1927; Documentation; Data file; Web mapping; Geodetic datum; File Transfer Protocol","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":[0.001191186,0.001716384,0.001356776,0.004627936,0.0009651691,0.002458035,0.002720333,0.0009855129,0.1309573],"category_scores_gemma":[0.004982561,0.001133654,0.0008098176,0.01322303,0.0003775737,0.001774498,0.002274653,0.001762995,0.1912438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003105019,"about_ca_system_score_gemma":0.004746792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1314083,"about_ca_topic_score_gemma":0.1844188,"domain_scores_codex":[0.9986583,0.000151057,0.0001515583,0.0003364877,0.0004235945,0.0002790333],"domain_scores_gemma":[0.9968725,0.0003075512,0.0002787717,0.0008519052,0.001413818,0.0002755533],"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":[0.00002398802,0.000006734266,0.0006455137,0.0001836886,0.000008583516,0.000008157241,0.00002422398,0.00007080503,0.00006247842,0.0005057996,0.9972456,0.001214459],"study_design_scores_gemma":[0.00005332143,0.000003893161,0.004429163,0.0001139323,0.000006390762,0.00001835778,0.00009221397,0.00007656576,0.0002090172,0.0003590179,0.9946246,0.00001364855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006679114,0.00001169266,0.00004277688,0.00001855091,0.00001105703,0.000006318146,0.9987413,0.000158131,0.0009434929],"genre_scores_gemma":[0.0002153703,0.00001944519,0.0001689227,0.00001170894,0.000002297782,0.00003623258,0.99862,0.00008307004,0.0008429239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1314083,"threshold_uncertainty_score":0.4380958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171875915085472,"score_gpt":0.2776267225608312,"score_spread":0.2559079634099765,"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."}}