{"id":"W4379516551","doi":"10.3897/arphapreprints.e107487","title":"Online advertisements for crayfish decrease after a provincial ban","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Crayfish; Marbled meat; Fishery; Business; Advertising; Geography; Biology; Botany","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":[0.0006569633,0.0001652617,0.0002268305,0.0008445076,0.001457419,0.002141837,0.0007546804,0.0009175565,0.01482305],"category_scores_gemma":[0.00658852,0.0002165981,0.0004277538,0.001417622,0.0006053679,0.0006775409,0.0007501488,0.001382604,0.00235242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01065178,"about_ca_system_score_gemma":0.01364697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.860334,"about_ca_topic_score_gemma":0.8904865,"domain_scores_codex":[0.9992894,0.00005108223,0.00002672823,0.00009284158,0.0003134255,0.0002265067],"domain_scores_gemma":[0.9900213,0.001467684,0.001842797,0.0005266496,0.004543882,0.001597746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00107981,0.0007649012,0.8386793,0.0002981656,0.0001252064,0.0005936294,0.007805866,0.0006653656,0.01117516,0.002338242,0.03345846,0.1030158],"study_design_scores_gemma":[0.00001641115,0.00007252791,0.9768052,0.00002088539,0.0000261571,0.00005102387,0.002937172,0.0003184962,0.001086114,0.0001031623,0.01854682,0.00001614943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646564,0.0004221429,0.0002267387,0.00267469,0.00007942783,0.00005356958,0.00275714,0.0001239837,0.02900574],"genre_scores_gemma":[0.9553223,0.000361892,0.000348838,0.001019628,0.00003015875,0.00002876418,0.00191451,0.00003031753,0.0409436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.860334,"threshold_uncertainty_score":0.280977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252533460485123,"score_gpt":0.2688166502025782,"score_spread":0.246291315597727,"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."}}