{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006155517,0.0001988613,0.0002342814,0.001976654,0.001844666,0.001548125,0.0005329135,0.0006071346,0.004478539],"category_scores_gemma":[0.003648234,0.0001793304,0.0001436126,0.00252013,0.001086106,0.002457661,0.002516276,0.0006741575,0.0006334202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117442,"about_ca_system_score_gemma":0.001282524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07618852,"about_ca_topic_score_gemma":0.2920927,"domain_scores_codex":[0.9996954,0.00007693123,0.00001762249,0.00004106765,0.00009747973,0.00007153281],"domain_scores_gemma":[0.9986005,0.0004965806,0.0004022575,0.0000622796,0.000221362,0.0002169969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001303862,0.000086101,0.2901914,0.00148634,0.00007181821,0.004376316,0.4641658,0.00008633015,0.002819673,0.006295933,0.05860386,0.171686],"study_design_scores_gemma":[0.000006803247,0.00006959546,0.4118389,0.001671043,0.00005438211,0.001645952,0.4787475,0.0008873869,0.0005797656,0.001301218,0.1031421,0.00005537004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524505,0.003299541,0.0007568988,0.00596447,0.0001423482,0.0001268121,0.003813926,0.00004948585,0.03339596],"genre_scores_gemma":[0.9889676,0.003033185,0.001046764,0.0005414742,0.00005804399,0.00007170006,0.001175808,0.00004091351,0.005064643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07618852,"threshold_uncertainty_score":0.1514901,"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."}}