{"id":"W4398991622","doi":"10.7910/dvn/rnl8ka/q6x3cn","title":"Experiment_1A_16.csv","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Free Will and Agency","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Agency (philosophy); Sense (electronics); Joint (building); Psychology; Mathematics; Computer science; Epistemology; Philosophy; Engineering; Architectural engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006672861,0.0003978032,0.000358945,0.0001063447,0.0001619971,0.0001412394,0.001425668,0.0002065398,0.05749933],"category_scores_gemma":[0.0006561017,0.0003664232,0.0001470507,0.0002537081,0.0001501843,0.0003259738,0.0008175419,0.0004875554,0.6566707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004364645,"about_ca_system_score_gemma":0.00009155058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007939674,"about_ca_topic_score_gemma":0.000009155262,"domain_scores_codex":[0.9976589,0.0001160635,0.0003212865,0.0009502356,0.0005344094,0.0004190721],"domain_scores_gemma":[0.9980994,0.00008438348,0.0001763128,0.001362313,0.00001413895,0.0002634711],"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":[0.00002404577,0.00008385861,2.860787e-7,0.00006210842,0.000007160948,0.0006175926,0.00001803679,6.441312e-7,0.007863045,0.00008278651,0.9911448,0.00009568774],"study_design_scores_gemma":[0.0002923618,0.00005375423,0.000001126548,0.00003911565,0.00003900089,0.00002047997,0.00001498324,0.00001407763,0.01047579,0.0000236869,0.9886072,0.0004184082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000790177,0.000001055721,0.000008127325,0.00002957239,0.001416641,0.0002626872,0.9969794,0.0001330476,0.001161635],"genre_scores_gemma":[0.00002170862,0.0004860455,0.00006006152,0.003909892,0.0005891031,0.00003552408,0.9938298,0.00002984822,0.001038044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5991714,"threshold_uncertainty_score":0.9998788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04216029403893756,"score_gpt":0.2621084549706082,"score_spread":0.2199481609316706,"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."}}