{"id":"W7063066805","doi":"","title":"Vulnerability and Adaptation to Drought : The Canadian Prairies and South America","year":2016,"lang":"en","type":"book","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Climate Extremes; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; University of Regina","keywords":"Vulnerability (computing); Adaptation (eye); Agriculture; Social vulnerability; Adaptive capacity; Climate change; Natural disaster; Social capital; Natural (archaeology)","routes":{"ca_aff":false,"ca_fund":true,"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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003330528,0.0004775964,0.000513852,0.002614755,0.0005032291,0.003063236,0.001353097,0.0002967004,0.0002889944],"category_scores_gemma":[0.00006029794,0.0003524416,0.00006389431,0.002342679,0.0004701836,0.004602392,0.001486739,0.001136312,0.0002368797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009949855,"about_ca_system_score_gemma":0.00109574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004163614,"about_ca_topic_score_gemma":0.002733361,"domain_scores_codex":[0.9973722,0.0001403226,0.0003827979,0.0006826646,0.0005182441,0.000903739],"domain_scores_gemma":[0.9976188,0.000412519,0.00005161095,0.0008986716,0.00004316973,0.0009752632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003686555,0.000007872875,0.0002936143,0.0002789884,0.000118052,0.00003673984,0.0009498197,0.00005714683,0.00002644665,0.02372472,0.9451563,0.02931347],"study_design_scores_gemma":[0.0001745739,0.00009419326,0.001800514,0.0002208053,0.00001147542,0.000005356663,0.00007050346,0.0005741902,0.00004437874,0.006426218,0.9900832,0.0004946325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00192427,0.003180656,0.00008134793,0.01234035,0.0003569788,0.00259984,0.001958385,0.0006782028,0.97688],"genre_scores_gemma":[0.1535474,0.006905338,0.005163071,0.001867327,0.002568181,0.0008375272,0.003079842,0.001810309,0.824221],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1526589,"threshold_uncertainty_score":0.9998928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04936079733532056,"score_gpt":0.2672852189355994,"score_spread":0.2179244216002788,"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."}}