{"id":"W7002066310","doi":"","title":"Modelling current and projected niche shifts of the
\\nblacklegged tick, Ixodes scapularis, in eastern Canada
\\nemploying community science data and global climate
\\nchange drivers","year":2024,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Neurology and Historical Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Memorial University of Newfoundland","keywords":"Niche; Environmental niche modelling; Range (aeronautics); Climate change; Amazonian; Ixodes scapularis; Tick; Population","routes":{"ca_aff":false,"ca_fund":true,"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","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001355733,0.0004580862,0.000686144,0.000880608,0.004066888,0.0001811734,0.003222552,0.000363022,0.000003345618],"category_scores_gemma":[0.0007791548,0.0004724151,0.00009959209,0.003295806,0.002320576,0.0006357153,0.004322885,0.002757762,0.000002449716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789668,"about_ca_system_score_gemma":0.003048113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.387183,"about_ca_topic_score_gemma":0.6037245,"domain_scores_codex":[0.9932845,0.002263642,0.0003876916,0.001472143,0.001635736,0.0009563111],"domain_scores_gemma":[0.9970729,0.0007446414,0.0003191583,0.001079583,0.000459179,0.0003245517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.091819,0.007774023,0.4622382,0.0252119,0.001975945,0.02607574,0.1257144,0.007099474,0.1666435,0.04766399,0.02655407,0.0112298],"study_design_scores_gemma":[0.05256036,0.007028443,0.2123084,0.01518837,0.008051894,0.0004513263,0.1861011,0.1615005,0.06531515,0.006839746,0.2684659,0.01618884],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797111,0.0002857061,0.00000568031,0.0001036436,0.01034159,0.0009165439,0.0003205611,0.00006219892,0.008253033],"genre_scores_gemma":[0.9970805,0.0007742983,0.000009531062,0.000007518261,0.0004613198,7.656201e-7,0.00003660041,0.00002581356,0.001603656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2499298,"threshold_uncertainty_score":0.9997727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09156777141643477,"score_gpt":0.3085868688786951,"score_spread":0.2170190974622604,"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."}}