{"id":"W6968856420","doi":"10.5285/062ae7b9-e68b-4a34-808a-2731b15b9dfd","title":"Mapped winter road connections to remote First Nations communities in Canada 2022-2023, using open data sources and satellite imagery","year":2024,"lang":"en","type":"dataset","venue":"NERC Environmental Data Service","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council","keywords":"Open water; Satellite imagery; Quadrat; Shapefile; Climate change; Geographic coordinate system; Global Positioning System; Data archive","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":[0.0003378254,0.001133652,0.0006585612,0.005218538,0.001867263,0.002280685,0.001800218,0.0006095178,0.01022539],"category_scores_gemma":[0.002518456,0.0004444414,0.0007167264,0.01468194,0.0005136594,0.0007423972,0.001275347,0.001054105,0.005645652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02099345,"about_ca_system_score_gemma":0.02946015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906606,"about_ca_topic_score_gemma":0.995931,"domain_scores_codex":[0.9993312,0.00002663994,0.00003715379,0.0001372369,0.0002747792,0.000192921],"domain_scores_gemma":[0.997986,0.00008931752,0.0001170283,0.0001373986,0.001461669,0.0002086447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001281421,0.00004191546,0.02520665,0.0005517736,0.00009394398,0.0001331115,0.0003909043,0.003049794,0.0003115844,0.001724424,0.9561279,0.01223983],"study_design_scores_gemma":[0.00009060157,0.00001207299,0.1449559,0.0004941571,0.00005568381,0.0001163753,0.001748764,0.004789189,0.0008796324,0.0008601884,0.8459103,0.00008714182],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002705396,0.00009358415,0.00009127401,0.00005624656,0.000008628685,0.0000154709,0.9951491,0.0001460058,0.001734393],"genre_scores_gemma":[0.007007564,0.0001222632,0.0007009392,0.00002182627,0.000003087963,0.00003681983,0.9901203,0.0000448301,0.00194222],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02099345,"threshold_uncertainty_score":0.1523188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06498815583397044,"score_gpt":0.2905808036019989,"score_spread":0.2255926477680285,"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."}}