{"id":"W4251878457","doi":"10.3410/f.725540744.793507833","title":"Faculty Opinions recommendation of Extreme metal music and anger processing.","year":2015,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Diverse Music Education Insights","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Anger; Psychology; Computer science; 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":[0.00149727,0.002777451,0.001340309,0.00250664,0.0008841977,0.00256022,0.002923246,0.002331476,0.1260447],"category_scores_gemma":[0.00634786,0.0005433845,0.001272586,0.002370399,0.0004615939,0.001634207,0.00262146,0.001472338,0.1837181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166939,"about_ca_system_score_gemma":0.002464609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02236143,"about_ca_topic_score_gemma":0.09545035,"domain_scores_codex":[0.9987454,0.0001842769,0.0000962079,0.0003109517,0.0004562368,0.00020692],"domain_scores_gemma":[0.9977614,0.0003131155,0.0001206791,0.0005768079,0.0008101976,0.0004177345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003111881,0.00001497723,0.0002554175,0.0001031212,0.000007115837,0.000006811239,0.000005724556,0.00004128832,0.0000914351,0.00007262335,0.9967893,0.002581184],"study_design_scores_gemma":[0.0001395158,0.00002399883,0.003467605,0.0001354972,0.00002251268,0.00006846131,0.00006031857,0.001118772,0.000835488,0.0007499018,0.9933497,0.00002821483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006549992,0.0002914148,0.0005797404,0.0004904749,0.0003876327,0.00008431564,0.9853835,0.003893227,0.008234795],"genre_scores_gemma":[0.001100053,0.0001258191,0.001187048,0.0002167501,0.00006059848,0.00008410186,0.9901272,0.0002511905,0.00684729],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1260447,"threshold_uncertainty_score":0.4216616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1284837755621566,"score_gpt":0.3417955460349945,"score_spread":0.2133117704728379,"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."}}