{"id":"W2571772794","doi":"10.1038/laban.1182","title":"Response to Protocol Review Scenario: Choose your battles","year":2017,"lang":"en","type":"article","venue":"Lab Animal","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Protocol (science); Computer science; Medicine; Alternative medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05783409,0.002648989,0.004367206,0.00301881,0.01265125,0.01158562,0.00481407,0.1121249,0.0443186],"category_scores_gemma":[0.3173822,0.002529101,0.005577542,0.001491725,0.004822899,0.006077842,0.008410198,0.06449892,0.03574458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01193726,"about_ca_system_score_gemma":0.02416308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004861098,"about_ca_topic_score_gemma":0.01003641,"domain_scores_codex":[0.9345669,0.02778355,0.01457103,0.004156535,0.01213994,0.006782034],"domain_scores_gemma":[0.8198388,0.07767992,0.01831911,0.008950231,0.061469,0.013743],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003601665,0.00006683697,0.0003680285,0.001049218,0.0001019246,0.001937085,0.001151429,0.0001800018,0.001157638,0.002698642,0.9839113,0.007017718],"study_design_scores_gemma":[0.0006777119,0.0001553709,0.001019398,0.003184996,0.0001561203,0.0007161393,0.002035427,0.001257015,0.0009301714,0.01084536,0.9787103,0.0003121055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002759646,0.00148171,0.006287333,0.8455216,0.1056669,0.01931004,0.001866742,0.00178273,0.01532318],"genre_scores_gemma":[0.00653311,0.000709109,0.006974142,0.9222969,0.02450043,0.01566955,0.0004304777,0.0004396957,0.02244655],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9421659,"threshold_uncertainty_score":0.3058596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2584485584591457,"score_gpt":0.4884186591456203,"score_spread":0.2299701006864746,"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."}}