{"id":"W4284879451","doi":"10.1186/s42826-022-00129-0","title":"Researchers, animal support and regulatory staff: symbiosis or antagonism?","year":2022,"lang":"en","type":"article","venue":"Laboratory Animal Research","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto Mississauga; Hospital for Sick Children; University of Toronto","keywords":"Variety (cybernetics); Principal (computer security); Engineering ethics; State (computer science); Political science; Work (physics); Public relations; Computer science; Engineering; Computer security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005965138,0.0002950738,0.0003593366,0.0004790504,0.002032195,0.0002450853,0.0008147744,0.0001099686,0.003516993],"category_scores_gemma":[0.001123084,0.0002770624,0.0000676602,0.001611286,0.0008515447,0.0004258603,0.00194446,0.001949691,0.0001810417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003694491,"about_ca_system_score_gemma":0.00097042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001549404,"about_ca_topic_score_gemma":0.000009589845,"domain_scores_codex":[0.9929911,0.002182353,0.0004241266,0.00101646,0.002095334,0.001290582],"domain_scores_gemma":[0.9972304,0.001001063,0.0001049565,0.0006032045,0.0005568981,0.0005034951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03189069,0.0010095,0.02448647,0.0002863606,0.0001920781,0.007571393,0.003713957,0.00000105305,0.8761445,0.01645661,0.03570217,0.002545217],"study_design_scores_gemma":[0.004928946,0.18298,0.2260608,0.0001877818,0.0000739916,0.001332997,0.06640249,0.001361321,0.03992618,0.001459478,0.4726007,0.00268529],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917018,0.0007627219,0.000001060955,0.0007309623,0.00008233799,0.0004336518,0.0005522542,0.0002375779,0.005497665],"genre_scores_gemma":[0.9949167,0.00008836397,0.000361237,0.0001411227,0.000305775,0.0001937416,0.00002741371,0.0000990369,0.00386655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8362183,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3754110809881383,"score_gpt":0.4912380682103759,"score_spread":0.1158269872222376,"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."}}