{"id":"W3200442339","doi":"10.3389/fnbeh.2021.735387","title":"Measuring Behavior in the Home Cage: Study Design, Applications, Challenges, and Perspectives","year":2021,"lang":"en","type":"article","venue":"Frontiers in Behavioral Neuroscience","topic":"Neuroendocrine regulation and behavior","field":"Psychology","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of General Medical Sciences; National Institute on Aging; National Institutes of Health","keywords":"Novelty; Computer science; Data science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003820081,0.0001948343,0.0002313666,0.0002710413,0.0001475289,0.0000892682,0.0004473377,0.00004213351,0.00001868549],"category_scores_gemma":[0.00002229421,0.0001712759,0.00004140373,0.0007387738,0.000236053,0.0002053898,0.000100856,0.0003763331,0.000003907033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006276807,"about_ca_system_score_gemma":0.00004473275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003824121,"about_ca_topic_score_gemma":0.00007500804,"domain_scores_codex":[0.9973869,0.0006782883,0.0003024329,0.0008514411,0.0003831335,0.0003977776],"domain_scores_gemma":[0.9991859,0.00004007479,0.00007137991,0.0005758988,0.00005151502,0.00007521934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000431588,0.006287347,0.8775508,0.000006719452,0.000001422773,0.002220159,0.01499156,0.000009432405,0.003580963,0.0004460331,0.0002720309,0.0945904],"study_design_scores_gemma":[0.000672549,0.0002140263,0.9677767,0.000004707011,0.00003083656,0.0001995266,0.02982595,0.000009355481,0.00008738691,0.00004383357,0.0009583599,0.0001767857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912294,0.005110803,0.0005122376,0.0007530607,0.0007470619,0.001504795,0.000006686807,0.00004693214,0.00008906681],"genre_scores_gemma":[0.9975267,0.0001915909,0.0006101056,0.00008232693,0.00002987486,0.001086816,0.000001352199,0.00001957802,0.0004516794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09441361,"threshold_uncertainty_score":0.698443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1952444927940971,"score_gpt":0.3619019265123031,"score_spread":0.166657433718206,"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."}}