{"id":"W2068363715","doi":"10.7882/az.2011.004","title":"Predator or scapegoat? The Australian Grey Nurse Shark through the public lens","year":2011,"lang":"en","type":"article","venue":"Australian Zoologist","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Scapegoat; Predator; Lens (geology); Biology; Fishery; Ecology; Predation; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001088139,0.0002390439,0.000160316,0.001226991,0.002171864,0.003509118,0.0002347857,0.0009762453,0.005374908],"category_scores_gemma":[0.002673139,0.0001901689,0.0001335753,0.0007794489,0.003002832,0.002758813,0.001364477,0.0009923219,0.0006940769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544328,"about_ca_system_score_gemma":0.0006013637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01415905,"about_ca_topic_score_gemma":0.02753499,"domain_scores_codex":[0.9996131,0.0001730733,0.0000119724,0.00003744757,0.0001072483,0.0000572146],"domain_scores_gemma":[0.998439,0.0007770022,0.0003729202,0.0000721736,0.0002110661,0.0001278763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001755005,0.00007213206,0.06394726,0.0006026144,0.00004220414,0.005669843,0.8161422,0.00008934728,0.006917029,0.01618272,0.02042587,0.06973333],"study_design_scores_gemma":[0.00000616095,0.000158061,0.1639986,0.0007025546,0.00008336357,0.002943823,0.5558569,0.0002697906,0.001556999,0.002266996,0.272117,0.00003984196],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8662249,0.004113059,0.0004790242,0.01685305,0.0004177342,0.00001647656,0.0001704099,0.00002925359,0.111696],"genre_scores_gemma":[0.9814734,0.002246897,0.000169237,0.001970757,0.0002941738,0.000005820692,0.00003636466,0.00001241177,0.01379099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01415905,"threshold_uncertainty_score":0.0281533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08518719122907219,"score_gpt":0.2828908169164187,"score_spread":0.1977036256873465,"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."}}