{"id":"W4410604822","doi":"10.1038/s41386-025-02126-y","title":"The Tailtag: A multi-mouse tracking system to measure social dynamics in complex environments","year":2025,"lang":"en","type":"article","venue":"Neuropsychopharmacology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; CMC Microsystems (Canada)","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Measure (data warehouse); Dynamics (music); Tracking (education); Psychology; Social dynamics; Neuroscience; Computer science; Artificial intelligence; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007190576,0.0008445153,0.0007439945,0.001699523,0.0002507367,0.0004505672,0.0008342409,0.0009756525,0.003271491],"category_scores_gemma":[0.001033324,0.0003486047,0.0003842496,0.0008554151,0.000247401,0.0006685899,0.0008779078,0.0005551446,0.0009679433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002622798,"about_ca_system_score_gemma":0.0002999327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165926,"about_ca_topic_score_gemma":0.003779691,"domain_scores_codex":[0.9996253,0.00006456429,0.00001601762,0.0001250175,0.0001310731,0.00003804069],"domain_scores_gemma":[0.9990839,0.0002604557,0.0002499261,0.00008308723,0.0001381714,0.0001845425],"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":[0.00161872,0.0004400288,0.05496532,0.0004333165,0.0004154605,0.0001420868,0.000168962,0.002481559,0.8065454,0.0003722798,0.006431474,0.1259853],"study_design_scores_gemma":[0.0006658303,0.005553862,0.5034395,0.0001574277,0.001269768,0.002676287,0.0001670035,0.1876848,0.2792519,0.001846216,0.01673432,0.0005530922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6121163,0.001401038,0.3613726,0.0002170558,0.0002897244,0.0006393034,0.009440312,0.01131165,0.003212008],"genre_scores_gemma":[0.7184231,0.0008109522,0.2644433,0.0009007551,0.0001818421,0.001868294,0.004769722,0.001009408,0.007592548],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003271491,"threshold_uncertainty_score":0.01094425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04134107644216037,"score_gpt":0.3021070513940071,"score_spread":0.2607659749518467,"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."}}