{"id":"W6999316083","doi":"","title":"Climate change and citizenship : a case study of responses in Canadian coastal communities","year":2006,"lang":"en","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Citizenship; Government (linguistics); Context (archaeology)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00549381,0.000272243,0.0003663799,0.002338936,0.0006142663,0.0004822634,0.0003628146,0.0003837817,0.0001455582],"category_scores_gemma":[0.0003120202,0.0003096277,0.00004417697,0.0008704653,0.0004829148,0.001171581,0.000124473,0.0003288574,0.00001074087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004784615,"about_ca_system_score_gemma":0.0009770574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9503691,"about_ca_topic_score_gemma":0.9990892,"domain_scores_codex":[0.9971994,0.0008711911,0.0006394715,0.0002106725,0.0005161148,0.0005632014],"domain_scores_gemma":[0.9984044,0.000160416,0.00053337,0.0004065811,0.0002818344,0.0002134218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001071208,0.0003524915,0.05113088,0.001517112,0.00005074999,0.0007227686,0.7956173,0.00002830477,0.0000451214,0.02937579,0.08906641,0.03198589],"study_design_scores_gemma":[0.001753464,0.0001912904,0.006423233,0.003512122,0.0000821967,0.0002051396,0.344717,0.0004449153,0.0001308102,0.0003542827,0.6408591,0.001326466],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2064585,0.0001279845,0.0006543756,0.0005956141,0.0005152024,0.02260249,0.001985202,0.0004652514,0.7665954],"genre_scores_gemma":[0.9783357,0.0006860564,0.001701115,0.0003409561,0.00009861653,0.002844472,0.0006958356,0.0001152054,0.015182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7718772,"threshold_uncertainty_score":0.9999356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163091890660633,"score_gpt":0.3370146335730579,"score_spread":0.2207054445069945,"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."}}