{"id":"W6905086506","doi":"10.14288/1.0445593","title":"Stepwise Imperatives for Improving the Protection of Animals in Research and Education in Canada","year":2024,"lang":"en","type":"article","venue":"Open Collections","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Action (physics); Reflection (computer programming); Public policy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005192314,0.00004342795,0.0000703406,0.00009546152,0.0004431639,0.0002844774,0.00009399562,0.00001431586,0.00001961295],"category_scores_gemma":[0.0002286406,0.00003362507,0.00000773699,0.0007020133,0.00003495387,0.0001234065,0.00006812048,0.0001493144,2.166232e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801486,"about_ca_system_score_gemma":0.002098877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9581413,"about_ca_topic_score_gemma":0.91985,"domain_scores_codex":[0.9994152,0.0001148704,0.0001366443,0.0001608233,0.00006865673,0.0001037968],"domain_scores_gemma":[0.9994611,0.000358558,0.0000213342,0.00006465847,0.0000799509,0.00001436076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005207297,0.001545027,0.01709346,0.002713828,0.000216138,0.00007340914,0.02805481,0.0003364243,0.4122937,0.0161366,0.1197207,0.3966085],"study_design_scores_gemma":[0.005064986,0.02041743,0.2351253,0.005562801,0.00007455672,0.0005693945,0.2525822,0.2947308,0.03300184,0.09858178,0.05260877,0.001680168],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833334,0.0004611586,0.00007633278,0.0004042168,0.0001229991,0.001742598,0.00002618531,0.000008086767,0.01382503],"genre_scores_gemma":[0.9851131,0.000008928696,0.0002843026,0.000004039368,0.00003346233,0.0007830894,7.046909e-7,0.000007330332,0.01376499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3949284,"threshold_uncertainty_score":0.3723318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3150758888155178,"score_gpt":0.4825693927325395,"score_spread":0.1674935039170216,"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."}}