{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009034001,0.0002235948,0.0005601882,0.000143151,0.001565865,0.000003134237,0.0001047789,0.0001357703,0.0001354552],"category_scores_gemma":[0.0001310599,0.0001788804,0.00003584072,0.0001638929,0.0001328588,0.0001070491,0.0005798592,0.0002583769,0.0001307072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009168261,"about_ca_system_score_gemma":0.0002274512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006997369,"about_ca_topic_score_gemma":0.8820998,"domain_scores_codex":[0.9977007,0.0001747108,0.000560644,0.0003365424,0.0001277963,0.00109962],"domain_scores_gemma":[0.9990383,0.0002099633,0.0002039103,0.0002083492,0.0002703703,0.00006915571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004554613,0.00006457978,0.2260893,0.0003170799,0.0001391441,0.00002150249,0.7646171,2.246824e-7,0.00000657013,0.008203642,0.0003149631,0.0001803398],"study_design_scores_gemma":[0.0009408678,0.0002680337,0.2592476,0.0002518355,0.00005680528,0.000001245675,0.7355112,0.00001280736,0.000005417588,0.003323095,0.0001438576,0.0002372887],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936967,0.002417362,8.049835e-8,0.0005021531,0.0006979684,0.001144901,0.00002821985,0.00005723425,0.001455356],"genre_scores_gemma":[0.9842121,0.01163835,0.0001880529,0.002663099,0.0002581975,0.0008240892,0.000002723476,0.00002416324,0.0001891959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8751024,"threshold_uncertainty_score":0.999734,"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."}}