{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005740979,0.0006390283,0.000693227,0.0003890438,0.001201855,0.0003942832,0.0003277215,0.0003323895,0.04639354],"category_scores_gemma":[0.00002117207,0.0006873564,0.0001268629,0.0009427811,0.00008890649,0.001248206,0.001143324,0.0006828881,0.0004968113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002543322,"about_ca_system_score_gemma":0.00003456125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2382189,"about_ca_topic_score_gemma":0.7198016,"domain_scores_codex":[0.9961404,0.0001468107,0.000571842,0.001133938,0.000557492,0.001449495],"domain_scores_gemma":[0.9981297,0.00006809484,0.0002903379,0.0006322354,0.00001615127,0.0008635051],"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":[0.0004707754,0.0003117213,0.01108603,0.0006147885,0.00001000723,0.0001777547,0.007378961,0.000004299901,0.00001251888,0.00001227294,0.9773626,0.002558301],"study_design_scores_gemma":[0.0007607946,0.0004572265,0.01252181,0.000975372,0.000114836,0.00001911307,0.001064083,0.00005923431,0.000007081807,0.00005285528,0.9831873,0.0007803423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06707468,0.003213199,1.728351e-7,0.006265249,0.003589228,0.004948481,0.9135413,0.0001410857,0.001226666],"genre_scores_gemma":[0.00242324,0.1237812,0.00002032748,0.02667011,0.001151628,0.005040143,0.8400392,0.0001684312,0.0007057196],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4815827,"threshold_uncertainty_score":0.9995577,"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."}}