{"id":"W4306912551","doi":"10.1093/gigascience/giac092","title":"A virtual library for behavioral performance in standard conditions—rodent spontaneous activity in an open field during repeated testing and after treatment with drugs or brain lesions","year":2022,"lang":"en","type":"article","venue":"GigaScience","topic":"Obsessive-Compulsive Spectrum Disorders","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Max-Planck-Gesellschaft; Canadian Institutes of Health Research; Ontario Mental Health Foundation; McMaster University","keywords":"Computer science; Schema (genetic algorithms); Raw data; Field (mathematics); Information retrieval; Reuse; Resource (disambiguation); Machine learning; Artificial intelligence","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":[0.002143154,0.002153927,0.001373911,0.006331939,0.000893954,0.002182633,0.003360966,0.001469572,0.01551176],"category_scores_gemma":[0.006552509,0.0007356226,0.00248459,0.005023104,0.0006871602,0.002562233,0.003418577,0.001661235,0.01480355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009765411,"about_ca_system_score_gemma":0.001379273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002799178,"about_ca_topic_score_gemma":0.004720156,"domain_scores_codex":[0.9982411,0.0002320484,0.0002475498,0.0005877191,0.0005761086,0.0001155635],"domain_scores_gemma":[0.9934778,0.001892169,0.0006549915,0.0025154,0.0009918724,0.0004677276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003549759,0.002337228,0.03153738,0.009630444,0.001175744,0.001661777,0.001001883,0.02355804,0.0333558,0.00722089,0.5600665,0.3249046],"study_design_scores_gemma":[0.0007233982,0.001611834,0.09664926,0.001345133,0.0006474544,0.001795431,0.0005416708,0.06212048,0.06302276,0.01911993,0.7517824,0.000640233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02239232,0.0008104937,0.05581363,0.0002401218,0.0002021351,0.0005153723,0.8277119,0.08776215,0.004551931],"genre_scores_gemma":[0.02369049,0.0004174079,0.03354062,0.0001573051,0.00003774066,0.001544128,0.9349335,0.003445572,0.002233241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01551176,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511134909956551,"score_gpt":0.3216573102030237,"score_spread":0.2965459611034582,"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."}}