{"id":"W3165136241","doi":"10.1007/s10113-021-01772-4","title":"“It depends…”: Inuit-led identification and interpretation of land-based observations for climate change adaptation in Nunatsiavut, Labrador","year":2021,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Nunavut; University of Alberta; University of Guelph; Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research; Polar Knowledge Canada","keywords":"Circumpolar star; Climate change; Geography; Context (archaeology); Environmental resource management; Thematic analysis; Adaptation (eye); Environmental change; Environmental planning; Qualitative research; Psychology; Sociology; Ecology; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000300895,0.0001060459,0.0001955153,0.00008925937,0.0004756294,0.000003672742,0.00004859862,0.0001255567,0.00004607903],"category_scores_gemma":[0.00002875964,0.000112977,0.00004532464,0.00009370581,0.00004857954,0.0001520031,0.00006399796,0.0001072717,0.00001090631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003158447,"about_ca_system_score_gemma":0.00004429787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000918216,"about_ca_topic_score_gemma":0.04849193,"domain_scores_codex":[0.9987994,0.0001307313,0.0003895979,0.0002311844,0.000124549,0.0003245555],"domain_scores_gemma":[0.9993299,0.0002490741,0.0002416018,0.0001104418,0.00003727657,0.00003167809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006723381,0.0008972888,0.7268576,0.001747113,0.00007747065,0.00001440841,0.2434884,0.0001942641,0.005957627,0.00336504,0.0004651995,0.01626324],"study_design_scores_gemma":[0.001642812,0.0001133077,0.9475288,0.0001608607,0.00003868196,0.000001865585,0.02150891,0.02657503,0.000100794,0.0002792343,0.001891984,0.00015767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992061,0.0005054015,0.0004748064,0.004729211,0.0002033424,0.001516794,0.000433267,0.00001450247,0.00006171981],"genre_scores_gemma":[0.994547,0.0005054659,0.0005355342,0.001521991,0.0001361459,0.001476968,0.001169759,0.00001847457,0.00008864708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2219795,"threshold_uncertainty_score":0.9688706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196803715755544,"score_gpt":0.3445411974657239,"score_spread":0.2248608258901695,"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."}}