{"id":"W2032334016","doi":"10.3138/jvme.37.1.101","title":"Words Matter: Implications of Semantics and Imagery in Framing Animal-Welfare Issues","year":2010,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Framing (construction); Welfare; Animal welfare; Psychology; Sociology; Political science; History; Biology; Ecology","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":[0.006286955,0.001081914,0.0004974453,0.00352555,0.007334545,0.01005699,0.001545219,0.003820289,0.007324917],"category_scores_gemma":[0.01475886,0.0003602598,0.000380043,0.003171626,0.04147264,0.02191872,0.005466072,0.005745917,0.001267317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005828281,"about_ca_system_score_gemma":0.003107076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004450868,"about_ca_topic_score_gemma":0.004245163,"domain_scores_codex":[0.9932919,0.005219858,0.0001838173,0.0003709731,0.0005791733,0.0003544541],"domain_scores_gemma":[0.9880493,0.008896044,0.000924382,0.0005604901,0.001130026,0.0004397012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005654122,0.0000120947,0.0003209051,0.0001259654,0.000003818246,0.0002427886,0.1608562,0.0001268289,0.0003953262,0.8295313,0.003161125,0.005167185],"study_design_scores_gemma":[0.00002718433,0.00004318192,0.0009531899,0.0007331263,0.00001944469,0.000442623,0.224879,0.0009327543,0.0008058036,0.5764235,0.1947077,0.0000326371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1181483,0.00815917,0.05489742,0.1428434,0.003748389,0.0001610058,0.000306872,0.0001751727,0.6715603],"genre_scores_gemma":[0.9775944,0.001461407,0.006191344,0.003047748,0.000617759,0.0001177554,0.0001244019,0.0002064139,0.01063869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01005699,"threshold_uncertainty_score":0.04228729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581137854907391,"score_gpt":0.4160508824524712,"score_spread":0.3902395039033973,"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."}}