{"id":"W4403686609","doi":"10.1038/s41596-024-01054-3","title":"Outcome devaluation as a method for identifying goal-directed behaviors in rats","year":2024,"lang":"en","type":"review","venue":"Nature Protocols","topic":"Neurotransmitter Receptor Influence on Behavior","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Outcome (game theory); Devaluation; Biology; Computer science; Bioinformatics; Psychology; Medicine; Mathematics; Economics; Mathematical economics; Exchange rate","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":[0.0007750361,0.001063353,0.0009456267,0.001133488,0.0001978566,0.0006058455,0.0009018432,0.0006872929,0.001195644],"category_scores_gemma":[0.000580475,0.0002778921,0.0003833915,0.0008449301,0.001131017,0.0006678979,0.0003993374,0.001942621,0.0005841737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009911923,"about_ca_system_score_gemma":0.0009439928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002165864,"about_ca_topic_score_gemma":0.003094706,"domain_scores_codex":[0.9998461,0.00002506834,0.0000167753,0.00003832594,0.00005902068,0.0000146281],"domain_scores_gemma":[0.999736,0.0001284649,0.00004706264,0.0000209612,0.00005406136,0.00001338284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001728395,0.0001626644,0.0004999675,0.005493972,0.0001146213,0.0001355119,0.00005124811,0.0006348901,0.02935953,0.01606776,0.007072897,0.9402342],"study_design_scores_gemma":[0.0001426737,0.001718506,0.01679111,0.006326241,0.001008602,0.003581724,0.0002285568,0.00320222,0.1721447,0.05074644,0.7437924,0.0003168446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.003821165,0.9731932,0.01431077,0.000789169,0.0004462753,0.00005702618,0.0001650589,0.0001591728,0.007058203],"genre_scores_gemma":[0.02206252,0.9582075,0.01372976,0.0004965544,0.0001752093,0.0001484756,0.0001940151,0.0000372531,0.004948597],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002165864,"threshold_uncertainty_score":0.007191658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2236545548353558,"score_gpt":0.5588960416279831,"score_spread":0.3352414867926273,"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."}}