{"id":"W6913035540","doi":"10.5683/sp3/kflnah","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Province/Territory (PR) - 1941 - geojson format (WGS84 / EPSG:4326)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Shapefile; File format; Documentation; North American Datum of 1927; Boundary (topology); Data file; Geodetic datum; Geocoding","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":[0.001139094,0.001795284,0.001279928,0.004750535,0.0009001053,0.00237951,0.002925751,0.001039338,0.1142821],"category_scores_gemma":[0.004406198,0.001150893,0.000805429,0.01215608,0.0004212242,0.001753954,0.002527446,0.001878318,0.1448211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002709612,"about_ca_system_score_gemma":0.004140029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1298218,"about_ca_topic_score_gemma":0.1760235,"domain_scores_codex":[0.9987953,0.0001506386,0.0001317704,0.0003089427,0.000354137,0.0002592192],"domain_scores_gemma":[0.9976109,0.0002365809,0.0002422226,0.0007334818,0.0009637281,0.0002129871],"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":[0.00002727825,0.000007589458,0.0008126661,0.0002338368,0.00001191818,0.0000117539,0.00003759579,0.00009457632,0.00008444505,0.0006698897,0.9965141,0.001494337],"study_design_scores_gemma":[0.0000604514,0.000004167667,0.004994333,0.000127757,0.000007047592,0.00002267553,0.000116717,0.0000724697,0.0001892773,0.0004112762,0.9939786,0.00001521379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008592044,0.00001367471,0.00004805925,0.00001900196,0.00001323643,0.000006383801,0.9987595,0.0001548754,0.0008993396],"genre_scores_gemma":[0.0002916678,0.00002123013,0.0001838272,0.000012049,0.000002712249,0.00004298676,0.9985815,0.0000859679,0.0007780999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8701782,"threshold_uncertainty_score":0.3823116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041189129730895,"score_gpt":0.2637875379307725,"score_spread":0.2433756466334635,"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."}}