{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000242029,0.0004351359,0.0003517088,0.0003391779,0.0001391646,0.0002718509,0.0004264399,0.0004483062,0.001344239],"category_scores_gemma":[0.0006184917,0.0001706588,0.0003718384,0.0001456095,0.0002478864,0.0002572982,0.0003482972,0.0003880186,0.0006134529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003284499,"about_ca_system_score_gemma":0.0002748304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003030349,"about_ca_topic_score_gemma":0.004685119,"domain_scores_codex":[0.9998418,0.00002482646,0.000004279516,0.00005871323,0.00002926687,0.00004097585],"domain_scores_gemma":[0.9998174,0.00003913164,0.00003618212,0.00002413124,0.00005431435,0.00002873362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001310656,0.0002327592,0.02946716,0.0001970985,0.0001035746,0.0003939358,0.0003022341,0.01614066,0.6084866,0.0005419451,0.00313398,0.3396894],"study_design_scores_gemma":[0.00005411258,0.001508643,0.2037449,0.00006627761,0.00009463422,0.0006046378,0.0005442698,0.5922381,0.1946509,0.002154368,0.004217839,0.0001213769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8785265,0.0004151284,0.1146853,0.0002211401,0.0001547232,0.0001425488,0.001438956,0.002302374,0.002113295],"genre_scores_gemma":[0.9178261,0.0003312851,0.07503808,0.0001324379,0.00004406987,0.0001437765,0.001660624,0.0001074573,0.00471623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003030349,"threshold_uncertainty_score":0.006025434,"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."}}