{"id":"W3217740884","doi":"10.2139/ssrn.3973770","title":"Enhancing the Acceptability of Buyouts for Climate Change Adaptation: Exploring a Social License Approach for Erie Shore Drive, Ontario","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Shore; License; Adaptation (eye); Climate change adaptation; Climate change; Business; Environmental resource management; Oceanography; Political science; Environmental science; Psychology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002892721,0.000176476,0.0001637433,0.0003081068,0.008855998,0.003371443,0.001570255,0.001277174,0.01395892],"category_scores_gemma":[0.007148323,0.0001945171,0.0003016841,0.0002976141,0.002450828,0.001556122,0.002525911,0.001490647,0.0006925988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02392108,"about_ca_system_score_gemma":0.04083675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7737147,"about_ca_topic_score_gemma":0.9460169,"domain_scores_codex":[0.9978666,0.0007535981,0.00003650564,0.0001390128,0.0004761035,0.0007282227],"domain_scores_gemma":[0.9926553,0.00232054,0.0003139423,0.0002607968,0.001313895,0.003135612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002141585,0.0135368,0.2742949,0.0005975889,0.0001011276,0.005361725,0.3526782,0.002463472,0.02126458,0.03274414,0.03958196,0.2552339],"study_design_scores_gemma":[0.0004511001,0.003015477,0.3645866,0.0002820915,0.00009916349,0.0002664566,0.4601309,0.00576779,0.002928628,0.003698648,0.1586035,0.0001695488],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942722,0.00006023421,0.0008072995,0.004238718,0.00003051412,0.0002811571,0.00004616226,0.00003569804,0.05177822],"genre_scores_gemma":[0.9836627,0.00005243239,0.0008856806,0.0004482093,0.000007268774,0.0001000249,0.00002676789,0.00001643106,0.01480039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2262853,"threshold_uncertainty_score":0.4552359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2030799762921322,"score_gpt":0.3314110104162111,"score_spread":0.1283310341240789,"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."}}