{"id":"W4321352283","doi":"10.1007/s10113-023-02036-z","title":"Evaluating the comprehensiveness of municipal climate change adaptation plans in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Climate change adaptation; Nature Conservation; Climate change; Adaptation (eye); Environmental planning; Environmental resource management; Geography; Political science; Regional science; Environmental science; Ecology; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003007014,0.0001985658,0.0002066814,0.00003796475,0.0001916379,0.000008289723,0.0002335144,0.00006671359,0.0009126281],"category_scores_gemma":[0.000004331454,0.0001680748,0.00006481304,0.0001999223,0.0002489305,0.000259658,0.0003737325,0.0002001995,0.0001139554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001396861,"about_ca_system_score_gemma":0.00002318486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9201019,"about_ca_topic_score_gemma":0.9615611,"domain_scores_codex":[0.9979914,0.0001364271,0.0002924165,0.0002926363,0.0008354625,0.0004516465],"domain_scores_gemma":[0.9994119,0.0001126333,0.0001567667,0.0002277581,0.000001064537,0.0000898295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009285813,0.0001784259,0.9684848,0.00001661448,0.00002189583,0.00004633838,0.01543408,0.004873916,0.004602883,0.00004613199,0.000204573,0.00599744],"study_design_scores_gemma":[0.0004352476,0.0001159205,0.9868619,0.00003666524,0.00001380413,0.000006595842,0.003568632,0.007045685,0.00006563878,0.00007242619,0.001594415,0.0001831092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981922,0.00004954378,6.667898e-7,0.0005066416,0.0001440339,0.0005696362,0.00008662862,0.00001405926,0.0004366098],"genre_scores_gemma":[0.9982716,0.0002366482,0.00004452175,0.0007533315,0.00005862436,0.0002236815,0.0002044787,0.00002244769,0.0001846653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04145928,"threshold_uncertainty_score":0.9992637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2044778843218028,"score_gpt":0.3302521197761983,"score_spread":0.1257742354543955,"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."}}