{"id":"W2017444676","doi":"10.1080/17565529.2014.989192","title":"Past and future adaptation pathways","year":2015,"lang":"en","type":"article","venue":"Climate and Development","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":209,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Transformative learning; Climate change; Futures studies; Hindsight bias; Environmental change; Climate change adaptation; Sociology; Computer science; Ecology; Cognitive psychology; 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":[0.0005419672,0.00008222707,0.00008616988,0.00005205022,0.0004028194,0.0001023928,0.00003744888,0.00006513369,0.00002585186],"category_scores_gemma":[0.00002660196,0.00007794857,0.000007206253,0.00009669586,0.00006637532,0.0002334881,0.00003133191,0.00003726783,0.00003261286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009482036,"about_ca_system_score_gemma":0.0001668457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009520153,"about_ca_topic_score_gemma":0.002472677,"domain_scores_codex":[0.9992126,0.00004853565,0.0001531047,0.0001643856,0.0002228696,0.0001984744],"domain_scores_gemma":[0.9995831,0.00002830223,0.00006175718,0.00004899608,0.0001184919,0.0001593725],"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":[0.00004220178,0.00005249299,0.02267748,0.00005109331,0.00001459572,0.000006214905,0.6691521,0.000005417336,0.0001023001,0.02516365,0.002805931,0.2799265],"study_design_scores_gemma":[0.0005537518,0.00003905034,0.06171446,0.0000242501,0.000008844191,0.000003094336,0.2748572,0.0001626508,0.00007532303,0.0009536563,0.6613573,0.0002504624],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977056,0.0009734388,0.0004473028,0.002491217,0.0005075251,0.0003151418,0.000008480901,0.0001257495,0.01807518],"genre_scores_gemma":[0.9790119,0.00585877,0.0130724,0.0005415423,0.0009387037,0.00006172529,0.0001583322,0.00002014918,0.0003365008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6585513,"threshold_uncertainty_score":0.317865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1703070293122943,"score_gpt":0.3010685719076778,"score_spread":0.1307615425953835,"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."}}