{"id":"W2606090772","doi":"10.1016/j.psychres.2017.04.040","title":"Investigating consummatory and anticipatory pleasure across motivation deficits in schizophrenia and healthy controls","year":2017,"lang":"en","type":"article","venue":"Psychiatry Research","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; Centre for Addiction and Mental Health; University of Toronto","funders":"","keywords":"Amotivation; Anhedonia; Pleasure; Psychology; Schizophrenia (object-oriented programming); Anticipation (artificial intelligence); Developmental psychology; Multivariate analysis of variance; Cognitive psychology; Clinical psychology; Neuroscience; Psychiatry; Intrinsic motivation; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004532328,0.0004580262,0.0003183994,0.0008835731,0.0005336318,0.0007009439,0.0002131398,0.0004094501,0.001945611],"category_scores_gemma":[0.001228311,0.0001687496,0.0002608643,0.000271166,0.0005877589,0.0003418512,0.0006193922,0.0003336008,0.000117236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006822099,"about_ca_system_score_gemma":0.0004224413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570622,"about_ca_topic_score_gemma":0.01218838,"domain_scores_codex":[0.9998375,0.00002093104,0.00001988352,0.00004349352,0.0000280481,0.00005016549],"domain_scores_gemma":[0.9996122,0.0000682911,0.0001110246,0.00002843804,0.00004869016,0.0001313224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01072114,0.001236156,0.9230767,0.00009963253,0.0002507087,0.000869674,0.002947711,0.0002347763,0.04779908,0.0003797955,0.0002090961,0.01217557],"study_design_scores_gemma":[0.00004467945,0.000698152,0.9972363,0.00000469982,0.00004723296,0.0002089409,0.0007826366,0.0001597293,0.0006026186,0.0001217109,0.00008813159,0.000005268018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997949,0.00003022623,0.00002107396,0.00000539474,0.000001298175,0.000004793923,0.00003206091,7.468183e-7,0.0001095804],"genre_scores_gemma":[0.9997268,0.00001730665,0.00003320527,0.000006062801,0.00000121297,0.000005527134,0.00005416945,6.764701e-7,0.0001550394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01570622,"threshold_uncertainty_score":0.03122956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1394602410315703,"score_gpt":0.436834341343922,"score_spread":0.2973741003123516,"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."}}