{"id":"W2259156585","doi":"10.1111/rec.12343","title":"One option, two countries, several strategies: subjacent mechanisms of assisted migration implementation in Canada and France","year":2016,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"CLARITY; Climate change; Adaptation (eye); Scope (computer science); Environmental resource management; Order (exchange); Adaptive strategies; Process (computing); Adaptive management; Political science; Business; Ecology; Geography; Economics; Computer science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005233574,0.00008433368,0.0001539613,0.0001153864,0.0001776126,0.00003211531,0.00006493562,0.00007352385,0.0002417748],"category_scores_gemma":[0.00009352252,0.00008595724,0.0000121561,0.000223317,0.00009373486,0.0006589879,0.000009796223,0.00003917278,0.000003914171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440373,"about_ca_system_score_gemma":0.002243921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8418878,"about_ca_topic_score_gemma":0.9996531,"domain_scores_codex":[0.9985889,0.0003041476,0.0004045432,0.0001939592,0.0003011177,0.0002073724],"domain_scores_gemma":[0.9990789,0.0001834889,0.0003099516,0.000089437,0.0002855403,0.00005267367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001461297,0.0001403788,0.5066799,0.00007193753,0.00003759083,0.000004519626,0.02243217,0.0008611819,0.04114147,0.415207,0.000880706,0.012397],"study_design_scores_gemma":[0.001422851,0.0001093012,0.969704,0.00002926282,0.00001528062,8.474738e-7,0.01627151,0.0005996521,0.001272104,0.008395563,0.002003072,0.000176559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786682,0.00003254537,0.01638755,0.004041813,0.0002794691,0.0004482095,0.00003842546,0.00001883604,0.0000849444],"genre_scores_gemma":[0.9986335,0.0003060712,0.0006356081,0.0001303239,0.00005531911,0.00005680076,0.00008205047,0.000006817469,0.00009350683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4630241,"threshold_uncertainty_score":0.3980619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05030104560307216,"score_gpt":0.3181240348474422,"score_spread":0.2678229892443701,"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."}}