{"id":"W6969442509","doi":"10.5683/sp3/viurrc","title":"Data for: Mouse aversion to isoflurane anesthesia using the drop method","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Isoflurane; Drop (telecommunication); Conditioned place preference; Latency (audio); Preference","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":[0.002315965,0.002814119,0.001730529,0.002998801,0.0009836649,0.002313547,0.002849217,0.002573365,0.03709796],"category_scores_gemma":[0.01163141,0.0004516713,0.001871096,0.003874226,0.0005829908,0.001142871,0.001755584,0.001902987,0.06302333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440965,"about_ca_system_score_gemma":0.002453411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01727436,"about_ca_topic_score_gemma":0.03623342,"domain_scores_codex":[0.9976863,0.0003518398,0.000403635,0.0006495851,0.0006359275,0.0002727305],"domain_scores_gemma":[0.994927,0.0014232,0.0007414185,0.001139605,0.001374551,0.0003942053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003031083,0.00008613602,0.003243217,0.001768061,0.0001115744,0.00005303438,0.00002959427,0.0004890318,0.0003982377,0.000347107,0.9870819,0.006088857],"study_design_scores_gemma":[0.0006881193,0.0001040571,0.01376147,0.00071098,0.0001596009,0.0002562495,0.0001080116,0.001125225,0.001365862,0.001669434,0.9799784,0.00007260485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004419402,0.0001514059,0.0001381495,0.0001039126,0.00005281886,0.0000345428,0.9980234,0.0004570212,0.0005967653],"genre_scores_gemma":[0.0009390752,0.00008600767,0.000526989,0.00008482959,0.00001171451,0.0001884663,0.9974993,0.00006877688,0.0005948693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03709796,"threshold_uncertainty_score":0.124105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09738878318914053,"score_gpt":0.3519791851243343,"score_spread":0.2545904019351938,"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."}}