{"id":"W6950606493","doi":"10.5683/sp3/6gwlxa","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Province/Territory (PR) - 1966 - Esri Shapefile format (WGS84 / EPSG:4326)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Shapefile; North American Datum of 1927; File format; Documentation; Boundary (topology); Data file; 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":[0.001109764,0.001539318,0.001150741,0.00410092,0.0007425737,0.002002201,0.00257237,0.0008771878,0.09717112],"category_scores_gemma":[0.004404451,0.0009027614,0.0006995738,0.01019436,0.0003552235,0.001504312,0.001992879,0.001612573,0.1243605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378402,"about_ca_system_score_gemma":0.003767879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08727297,"about_ca_topic_score_gemma":0.1131614,"domain_scores_codex":[0.9989606,0.0001326521,0.0001402806,0.0002718257,0.0002832979,0.0002113206],"domain_scores_gemma":[0.9977226,0.0002674121,0.0002404154,0.0006385767,0.0009166685,0.0002144272],"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":[0.0000394675,0.000009639788,0.0009472619,0.0002930139,0.00001232955,0.0000144194,0.00003756406,0.0001174712,0.0001038315,0.0008607088,0.9959235,0.001640795],"study_design_scores_gemma":[0.00006483956,0.000003738621,0.004289107,0.0001251908,0.000006772532,0.00002341968,0.00008974514,0.00008004754,0.0002395227,0.0004009112,0.9946643,0.0000123397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008198177,0.00001210701,0.00005073411,0.00001577154,0.00001006207,0.000005497456,0.9988211,0.000163368,0.0008394668],"genre_scores_gemma":[0.0002571814,0.00002112755,0.0002053092,0.00001085175,0.000002199168,0.00003529606,0.9986851,0.00008938239,0.0006935596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.912727,"threshold_uncertainty_score":0.3250698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167885013634493,"score_gpt":0.2486039269079566,"score_spread":0.2269250767716116,"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."}}