{"id":"W7097432646","doi":"","title":"Article &amp;quot;Anticipation, climate change, and movement in Greenland&amp;quot;","year":2016,"lang":"en","type":"article","venue":"","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Promotion (chess); Movement (music); Environmental movement","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":[0.0003455224,0.00007079032,0.00009142762,0.0003864123,0.0007416441,0.001248176,0.0001633136,0.0003228681,0.00972905],"category_scores_gemma":[0.0008215984,0.0000368649,0.00009614852,0.0009213015,0.0006789788,0.0005097985,0.0004767744,0.0002776853,0.0003583553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003399278,"about_ca_system_score_gemma":0.003172444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3673385,"about_ca_topic_score_gemma":0.5972713,"domain_scores_codex":[0.9998839,0.00004219875,0.000004103418,0.00001526048,0.00002084588,0.00003376241],"domain_scores_gemma":[0.999786,0.00006742127,0.00005216953,0.00000499173,0.00002322259,0.00006617905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001994319,0.000293754,0.626641,0.0003276073,0.00009399631,0.0006048633,0.03748274,0.00559355,0.001326192,0.1237225,0.1203487,0.08336573],"study_design_scores_gemma":[0.000008483205,0.00003432113,0.8264349,0.0002161476,0.00001784196,0.00007337295,0.0507691,0.0009209751,0.0001925954,0.008741735,0.1125711,0.00001948249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8608347,0.005312023,0.0003145629,0.05662043,0.0004100773,0.00001168181,0.001845299,0.00001889058,0.07463236],"genre_scores_gemma":[0.9750645,0.003207779,0.0001111244,0.0007084499,0.00009777498,0.000006013086,0.0003346972,0.00000772788,0.02046196],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3673385,"threshold_uncertainty_score":0.7304008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0994662073056255,"score_gpt":0.3603328394937989,"score_spread":0.2608666321881734,"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."}}