{"id":"W7033993741","doi":"","title":"Supporting Adaptation:\\nA Priority for Action on Climate Change for Canadian Inuit","year":2008,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Action (physics); Climate change; Government (linguistics); Work (physics); Context (archaeology)","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":[0.002494314,0.0003346609,0.0002615921,0.0007015346,0.01210504,0.005513249,0.00197397,0.002358786,0.02041252],"category_scores_gemma":[0.007013592,0.0002271568,0.0005122516,0.001050825,0.001260734,0.001443165,0.002993481,0.002649418,0.001318061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03362683,"about_ca_system_score_gemma":0.1994272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9903885,"about_ca_topic_score_gemma":0.9957253,"domain_scores_codex":[0.997587,0.0001932823,0.00005163929,0.0001850814,0.0005808186,0.001402246],"domain_scores_gemma":[0.9935993,0.0003442315,0.0001591961,0.0002216507,0.003266029,0.002409565],"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":[0.000514943,0.0003720988,0.07919339,0.0005658112,0.0001024608,0.001601753,0.02040927,0.002812024,0.01481987,0.08609039,0.5263538,0.2671642],"study_design_scores_gemma":[0.00009933815,0.0001084557,0.1390522,0.0003934479,0.00008571729,0.0002475387,0.0278845,0.003874591,0.004045235,0.007525525,0.8164777,0.0002058752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2644225,0.001563051,0.008554468,0.2006481,0.002390838,0.0006441085,0.004285279,0.001715417,0.5157763],"genre_scores_gemma":[0.8131011,0.001037783,0.01300369,0.01542309,0.0002142702,0.0001813121,0.001411772,0.0003423038,0.1552846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03362683,"threshold_uncertainty_score":0.2439808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421328494246155,"score_gpt":0.3300482498885821,"score_spread":0.1879154004639665,"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."}}