{"id":"W4311608901","doi":"10.1163/9789004322714_cclc_2021-0043-210","title":"Climate change is spreading Lyme disease in Ontario — here’s what you need to know","year":2022,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lyme disease; Climate change; Need to know; Geography; Ecology; Biology; Computer science; Virology; Computer security","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":[0.0009872194,0.0008444231,0.0009999208,0.002294034,0.001459535,0.002076116,0.00197163,0.00138596,0.02510241],"category_scores_gemma":[0.007390281,0.0007968986,0.001623566,0.007478591,0.0005171504,0.0008519884,0.001537881,0.001206143,0.009399257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01443275,"about_ca_system_score_gemma":0.02375719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9732011,"about_ca_topic_score_gemma":0.9861522,"domain_scores_codex":[0.9989967,0.00008447252,0.0001154552,0.0001450833,0.0003724652,0.0002858085],"domain_scores_gemma":[0.994912,0.0005704715,0.0007776307,0.0006856901,0.002315839,0.0007383843],"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":[0.0000905032,0.00001795622,0.01557203,0.0007430025,0.0001119527,0.00003905516,0.0001585641,0.0006215856,0.00007323778,0.0005766886,0.9789483,0.003047131],"study_design_scores_gemma":[0.0003369306,0.00001744639,0.1804474,0.0009066949,0.0001497471,0.00005071758,0.000624691,0.0009128969,0.0002364141,0.0005935925,0.8156475,0.00007582871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009102518,0.00009691442,0.00002646995,0.0002970288,0.00002200811,0.00001118554,0.9978364,0.00004540264,0.0007542169],"genre_scores_gemma":[0.007503442,0.0003167166,0.0002802921,0.0002008925,0.00002086639,0.0001406651,0.9874807,0.00005963837,0.003996814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0267989,"threshold_uncertainty_score":0.1047174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0825440123965635,"score_gpt":0.2999122593579908,"score_spread":0.2173682469614273,"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."}}