{"id":"W2125375582","doi":"10.7202/045402ar","title":"Anticipation, climate change, and movement in Greenland","year":2011,"lang":"en","type":"article","venue":"Études/Inuit/Studies","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Oulun Yliopisto; University of Alberta","keywords":"Anticipation (artificial intelligence); Context (archaeology); Vulnerability (computing); Perception; Climate change; Preparedness; Psychological resilience; Action (physics); Agency (philosophy); Adaptation (eye); Psychology; Intentionality; Social psychology; Sociology; Political science; Geography; Epistemology; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001687645,0.0001331112,0.000182971,0.0008222297,0.005034914,0.002248016,0.0003564446,0.0007366587,0.002218528],"category_scores_gemma":[0.001616899,0.0001149406,0.0001401498,0.0008954206,0.008361178,0.001788865,0.003422595,0.001037902,0.00006199957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004291414,"about_ca_system_score_gemma":0.003093003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.143285,"about_ca_topic_score_gemma":0.3404449,"domain_scores_codex":[0.9992368,0.0003553921,0.00001758088,0.00007406755,0.00005797484,0.0002580938],"domain_scores_gemma":[0.9990846,0.0004686465,0.000240753,0.00002761902,0.00004056981,0.0001377757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002489482,0.00008667559,0.03525062,0.0000804089,0.000008188031,0.0004386963,0.9346787,0.0001306031,0.0004595637,0.01686682,0.000757459,0.0112174],"study_design_scores_gemma":[0.000002202067,0.00004308471,0.06933115,0.0001079867,0.000004625298,0.0001194856,0.917854,0.00007833715,0.00009392581,0.003667975,0.008682122,0.00001519108],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820151,0.0009944347,0.0002074236,0.004075182,0.00002720645,0.000005902162,0.000008841236,0.000003808626,0.0126621],"genre_scores_gemma":[0.9983705,0.0004734021,0.00006495231,0.0001979356,0.000006302767,0.000003541174,0.000003096388,0.000001309501,0.0008789292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.143285,"threshold_uncertainty_score":0.284902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2690708222408393,"score_gpt":0.433245857880139,"score_spread":0.1641750356392997,"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."}}