{"id":"W4414626507","doi":"10.1163/9789004322714_cclc_2021-0167-520","title":"U of T researcher explores impact of climate change on food security in the Yukon","year":2025,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Food security; Climate change; Government (linguistics); Food supply; Food processing","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":[0.0009075046,0.0005308262,0.0007233143,0.003676217,0.001166595,0.001748458,0.001268781,0.0009602659,0.02088543],"category_scores_gemma":[0.005513137,0.0004168051,0.0009305812,0.009124025,0.0003482905,0.0007808142,0.001810605,0.0007643168,0.009873397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002522309,"about_ca_system_score_gemma":0.006166873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3393817,"about_ca_topic_score_gemma":0.4671381,"domain_scores_codex":[0.9990892,0.0001403051,0.0001364571,0.000200899,0.0001615963,0.0002714267],"domain_scores_gemma":[0.9971048,0.0005154018,0.000342024,0.0005170896,0.001236052,0.000284667],"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":[0.0003254906,0.0000971331,0.09692032,0.001666212,0.0002013789,0.0001679682,0.0006565711,0.0007691105,0.0002544825,0.002328624,0.8840884,0.01252429],"study_design_scores_gemma":[0.0001936205,0.00004564715,0.2468935,0.0007724408,0.0001760681,0.0001229368,0.003850783,0.0009038235,0.0007348201,0.0008475492,0.7454029,0.00005580244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005461325,0.0001017869,0.00005967644,0.0001332494,0.00002149813,0.00002333789,0.9922262,0.00005866188,0.001914244],"genre_scores_gemma":[0.01202139,0.0001594691,0.0002607157,0.00007726139,0.000007290748,0.0001739769,0.9830543,0.00003807974,0.004207409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6606183,"threshold_uncertainty_score":0.6748126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2168496979899864,"score_gpt":0.4516659960118291,"score_spread":0.2348162980218427,"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."}}