{"id":"W4389060559","doi":"10.1016/j.jnc.2023.126522","title":"Exotic pet trade in Canada: The influence of social media on public sentiment and behaviour","year":2023,"lang":"en","type":"article","venue":"Journal for Nature Conservation","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wildlife trade; Animal welfare; Wildlife; Harm; Public opinion; Social media; Business; Political science; Geography; Biology; Ecology","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":[0.0008954441,0.0002992021,0.0002524189,0.001730665,0.004506067,0.003269626,0.0005243014,0.0004363304,0.00434841],"category_scores_gemma":[0.004338877,0.0002005824,0.0002812559,0.003174817,0.001646025,0.0008987645,0.001370338,0.0008591518,0.0002880493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02670581,"about_ca_system_score_gemma":0.02700071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933502,"about_ca_topic_score_gemma":0.9967937,"domain_scores_codex":[0.9991589,0.0001178364,0.0000247856,0.0001071494,0.0003243999,0.0002669701],"domain_scores_gemma":[0.995458,0.0008164851,0.0008447942,0.0001168055,0.001810097,0.0009538526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001857205,0.0000805581,0.9281535,0.0001195475,0.00006981064,0.0002769176,0.03896258,0.0001893411,0.001078201,0.0008599521,0.008691493,0.0213325],"study_design_scores_gemma":[0.0000052249,0.00001480643,0.9571745,0.00006715329,0.00002997281,0.00003664057,0.03423157,0.0004951243,0.0001595485,0.00008584295,0.007670043,0.00002942763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815108,0.0004214407,0.0001629571,0.002457847,0.00004259373,0.00003687572,0.002485334,0.00001690133,0.01286522],"genre_scores_gemma":[0.9965293,0.0002988329,0.0001424185,0.0002653582,0.00001240704,0.00001069533,0.0006372077,0.00001122038,0.002092617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02670581,"threshold_uncertainty_score":0.1937652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05436035724640865,"score_gpt":0.3173143780584518,"score_spread":0.2629540208120431,"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."}}