{"id":"W4225712243","doi":"10.1007/s00267-022-01630-x","title":"Integrating Social Learning, Adaptive Capacity and Climate Adaptation for Regional Scale Analysis: A Conceptual Framework","year":2022,"lang":"en","type":"article","venue":"Environmental Management","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Dalhousie University; University of Winnipeg","funders":"","keywords":"Adaptive capacity; Social learning; Adaptation (eye); Climate change; Environmental resource management; Context (archaeology); Scale (ratio); Conceptual framework; Resource (disambiguation); Computer science; Geography; Knowledge management; Environmental science; Ecology; Sociology; Psychology; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00300468,0.0007620789,0.000678785,0.002424797,0.001627969,0.005444104,0.002879323,0.002076759,0.006066299],"category_scores_gemma":[0.003275668,0.0003430973,0.000973086,0.002666636,0.01349054,0.006417808,0.003610655,0.001724613,0.0003287754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003676374,"about_ca_system_score_gemma":0.004468522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008676585,"about_ca_topic_score_gemma":0.009461165,"domain_scores_codex":[0.9990073,0.0005379368,0.0000416373,0.0001504449,0.0001203995,0.0001422734],"domain_scores_gemma":[0.9976421,0.001459411,0.000313718,0.0001307019,0.000195651,0.0002584428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005971991,0.0000441887,0.001037172,0.00003622986,0.00002473632,0.00005877244,0.0007016957,0.009680346,0.000109162,0.9834483,0.0002625313,0.004590958],"study_design_scores_gemma":[0.00001030314,0.00003241061,0.001519936,0.00006803653,0.00002598195,0.00005011574,0.001863632,0.02942462,0.00009274746,0.9619117,0.004982271,0.00001812927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1229684,0.00288997,0.6561347,0.03251555,0.0001778005,0.0002838252,0.0003127785,0.0001787981,0.1845382],"genre_scores_gemma":[0.9452594,0.0006669781,0.05150151,0.0002814572,0.0000973219,0.0002324429,0.00005023485,0.00002288173,0.001887641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008676585,"threshold_uncertainty_score":0.02667403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350551619195473,"score_gpt":0.2065962318812433,"score_spread":0.1930907156892886,"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."}}