{"id":"W3155792588","doi":"10.24908/iqurcp.14558","title":"Automated Emotion Classification in Free-moving Rats","year":2021,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Classifier (UML); Artificial intelligence; Computer science; Artificial neural network; Machine learning; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001411878,0.000187292,0.0001985315,0.0002312412,0.0001815691,0.0003056866,0.0003911647,0.0002850728,0.00006245147],"category_scores_gemma":[0.000862998,0.0002018471,0.00006484801,0.0006858525,0.0001891119,0.0000464037,0.0003373275,0.0004337142,0.00002876913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115404,"about_ca_system_score_gemma":0.0005399058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009333542,"about_ca_topic_score_gemma":0.00003938178,"domain_scores_codex":[0.9975246,0.0001621916,0.0003608905,0.0007227219,0.000589813,0.0006397616],"domain_scores_gemma":[0.9979533,0.00003255098,0.00009148463,0.0002949349,0.00146958,0.000158143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004160935,0.00008673611,0.001011649,0.00007286617,0.00002101853,0.00001330631,0.0004149698,0.000007447679,0.9707513,0.01777313,0.006574964,0.003231028],"study_design_scores_gemma":[0.0008528791,0.0002780311,0.001938737,0.0003329403,0.000007993533,0.00003616984,0.005190556,0.01261653,0.9341158,0.03801236,0.006185582,0.000432413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775983,0.0003571106,0.004427704,0.0132442,0.0003252184,0.0003882984,0.000006423876,0.0001337639,0.00351899],"genre_scores_gemma":[0.9953576,0.001164555,0.00148923,0.00007485888,0.0002704569,0.00007189912,0.00009945477,0.00003393914,0.001438039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03663547,"threshold_uncertainty_score":0.8231087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08606157070217321,"score_gpt":0.3650904820968671,"score_spread":0.2790289113946939,"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."}}