{"id":"W6950383249","doi":"10.5683/sp3/asgids","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Province/Territory (PR) - 2016 - 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; Data file; Boundary (topology); Geocoding; Geodetic datum","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":[0.001316235,0.00192026,0.001424445,0.004508817,0.0009382322,0.00280712,0.00312101,0.001147819,0.1162166],"category_scores_gemma":[0.005306036,0.001215983,0.0009758148,0.01109395,0.0004190281,0.002054546,0.002988919,0.001996036,0.1650662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002706656,"about_ca_system_score_gemma":0.004508079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.121824,"about_ca_topic_score_gemma":0.1658577,"domain_scores_codex":[0.9986086,0.0001792278,0.0001609309,0.0003478622,0.0004086547,0.0002946629],"domain_scores_gemma":[0.9972389,0.0002680449,0.0002583701,0.0008597362,0.001122644,0.0002524565],"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":[0.00002574617,0.000006886416,0.0006993838,0.0002364431,0.00001149158,0.00001020921,0.00003175543,0.00009628174,0.00007388832,0.0006206568,0.9968388,0.001348482],"study_design_scores_gemma":[0.00006201176,0.000003972935,0.003835252,0.0001516385,0.00000742919,0.00002221418,0.0001093047,0.00009209059,0.0001984013,0.0005054608,0.9949956,0.00001663169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006958292,0.00001293508,0.00005354364,0.00002061655,0.00001518924,0.000006188476,0.9988163,0.0001952723,0.0008104109],"genre_scores_gemma":[0.0002339179,0.00002065816,0.0001930017,0.00001338483,0.000002795186,0.00004319164,0.9986803,0.000101907,0.0007108139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.878176,"threshold_uncertainty_score":0.3887832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898037297352461,"score_gpt":0.2618010650625581,"score_spread":0.2428206920890335,"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."}}