{"id":"W7099899440","doi":"","title":"Observations of environmental changes and","year":2009,"lang":"en","type":"article","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsistence agriculture; Fishing; Arctic; Climate change; The arctic; Affect (linguistics); Food systems","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":[0.0004161294,0.0003566383,0.000175813,0.0008228104,0.002506921,0.001120477,0.0005784577,0.0004428276,0.003413361],"category_scores_gemma":[0.001251577,0.0001297262,0.0001999431,0.002095074,0.000837269,0.0004350284,0.001176439,0.0006025792,0.0004244466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003254268,"about_ca_system_score_gemma":0.002535866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5521786,"about_ca_topic_score_gemma":0.7866908,"domain_scores_codex":[0.9993227,0.00006035702,0.0000255122,0.0001687616,0.0002755074,0.0001472161],"domain_scores_gemma":[0.998448,0.00009449671,0.000380433,0.00007923564,0.0008255747,0.0001722293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000193069,0.00008946957,0.9510483,0.0001526959,0.0001214171,0.0005867969,0.009813243,0.0003123179,0.01099303,0.000299858,0.002463516,0.02392628],"study_design_scores_gemma":[0.000001708806,0.00002040173,0.9873481,0.00001654313,0.00001642657,0.00009919167,0.00413165,0.00006644227,0.0008764708,0.00005073041,0.007362244,0.00001005954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969751,0.0005393702,0.0007329787,0.000481259,0.00007182418,0.00004774503,0.004467144,0.00004359057,0.02386516],"genre_scores_gemma":[0.9941744,0.0002294932,0.0004746125,0.0001154149,0.00001992038,0.0000253248,0.001169905,0.000009202112,0.003781648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5521786,"threshold_uncertainty_score":0.9009174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03669935693253631,"score_gpt":0.2654054552489563,"score_spread":0.22870609831642,"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."}}