{"id":"W7025684619","doi":"","title":"Warm Climate, Slow Change: Climate Tort Claims in Canada and the Potential for Legislative Intervention","year":2022,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Legislature; Intervention (counseling); Tort; Legislation; Government (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006909137,0.0003778012,0.0007137467,0.002070693,0.03818372,0.01611493,0.003832092,0.017805,0.01156743],"category_scores_gemma":[0.028603,0.0006658787,0.0008569546,0.003487434,0.01166387,0.003938828,0.005084119,0.01664994,0.0003856998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1230167,"about_ca_system_score_gemma":0.2800376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926282,"about_ca_topic_score_gemma":0.9972127,"domain_scores_codex":[0.9910449,0.0007967176,0.0001923128,0.0006369948,0.00254875,0.004780338],"domain_scores_gemma":[0.9821082,0.007450333,0.00134833,0.0004094385,0.004763187,0.003920619],"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":[0.0003987182,0.0003696149,0.082128,0.0001988131,0.0001949677,0.002417689,0.03159144,0.002956491,0.001029228,0.6872095,0.1571615,0.03434409],"study_design_scores_gemma":[0.0004144788,0.0001848399,0.2416918,0.001173102,0.0007996995,0.000670838,0.1233717,0.01003883,0.002131243,0.1448286,0.4737907,0.0009041677],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4437848,0.006504363,0.001099963,0.2908874,0.0006032759,0.0001647343,0.001080711,0.00006064314,0.2558142],"genre_scores_gemma":[0.9224303,0.002566345,0.0004704591,0.03858529,0.0002456626,0.00005691008,0.0001337497,0.00003775727,0.03547344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1230167,"threshold_uncertainty_score":0.8925525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079229925750279,"score_gpt":0.2498071282118711,"score_spread":0.2390148289543683,"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."}}