{"id":"W2401020249","doi":"10.5751/es-07882-200330","title":"The thrill of the chase: uncovering illegal sport hunting in Brazil through YouTube™ posts","year":2015,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Culinary Culture and Tourism","field":"Agricultural and Biological Sciences","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministério da Ciência, Tecnologia e Inovação","keywords":"Ecology; Geography; Advertising; Biology; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004878876,0.00008260309,0.0001346758,0.000001036573,0.000347081,0.00001778638,0.0001936546,0.0001646302,0.00003786202],"category_scores_gemma":[0.0000607738,0.00002359244,0.0001064399,0.0001464508,0.0001784252,0.0000968532,0.000158574,0.0001941161,0.000004080155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001702369,"about_ca_system_score_gemma":0.00002345238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005376181,"about_ca_topic_score_gemma":0.007461529,"domain_scores_codex":[0.9993214,0.00004098902,0.000163669,0.0001468219,0.0001254646,0.0002016291],"domain_scores_gemma":[0.999683,0.000109258,0.00007738586,0.00005295485,0.00004103974,0.00003640975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005617958,0.0001497853,0.9571002,0.00001106211,0.00006123861,0.000008495557,0.01449602,0.00003004015,0.002420808,0.003374409,0.01690977,0.005382052],"study_design_scores_gemma":[0.000274561,0.00008254661,0.8111107,0.0000118001,0.000007637509,0.00002148566,0.003877822,0.00001488734,0.0001449427,0.001610589,0.1827446,0.00009843992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900987,0.0004565479,2.100532e-7,0.005535999,0.0002822159,0.0001072046,0.000004623762,0.00001138695,0.003503079],"genre_scores_gemma":[0.9977149,0.0002186603,0.00002661516,0.0008677496,0.0002079206,0.000004564033,0.000006187563,6.049049e-7,0.0009527535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1658349,"threshold_uncertainty_score":0.4163708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041332463157143,"score_gpt":0.2431461714754391,"score_spread":0.2227328468438677,"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."}}