{"id":"W2399333482","doi":"10.5281/zenodo.1417466","title":"Predictive Power Of Personality On Music-Genre Exclusivity.","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Personality; Predictive power; Power (physics); Computer science; Psychology; 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":[0.001455361,0.0003563523,0.000270874,0.0009025743,0.0003846188,0.001165924,0.0004000516,0.0005441326,0.02079791],"category_scores_gemma":[0.01474983,0.0001829307,0.0004439325,0.001016292,0.0003578987,0.0005159586,0.0007326646,0.0008133689,0.002280204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001216463,"about_ca_system_score_gemma":0.0001488098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003195096,"about_ca_topic_score_gemma":0.004504549,"domain_scores_codex":[0.999553,0.0001913043,0.00003315283,0.00009625448,0.00007740515,0.0000487954],"domain_scores_gemma":[0.9892346,0.005123958,0.001969615,0.001355941,0.0006389996,0.001676945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008971105,0.0001777981,0.9758036,0.00005368831,0.0002751137,0.0001191701,0.000320573,0.0002018584,0.001461034,0.0003438987,0.001612014,0.01873414],"study_design_scores_gemma":[0.00001040209,0.00006664135,0.9979678,0.00001126112,0.0000494795,0.00009510919,0.0001137999,0.000529853,0.0001659471,0.0003332989,0.0006483404,0.000008041658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833604,0.0006636555,0.0009233705,0.0004363957,0.000255377,0.0000333748,0.002260512,0.00003536712,0.01203155],"genre_scores_gemma":[0.996076,0.00016915,0.000306422,0.00006507094,0.00008552206,0.00001196394,0.000972891,0.000022267,0.002290666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02079791,"threshold_uncertainty_score":0.06957591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136588787485193,"score_gpt":0.3249836481389096,"score_spread":0.2113247693903903,"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."}}