{"id":"W4399003348","doi":"10.7910/dvn/rnl8ka","title":"Implicit sense of agency in independent and joint actions","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":"Sense (electronics); Agency (philosophy); Joint (building); Computer science; Epistemology; Chemistry; Engineering; Philosophy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001777336,0.00152212,0.0008418052,0.001728855,0.0007163675,0.001548361,0.001862908,0.001674944,0.02537188],"category_scores_gemma":[0.01165435,0.0003828196,0.0009679419,0.002192351,0.0005051204,0.0009155301,0.001896943,0.001078885,0.02867728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009472882,"about_ca_system_score_gemma":0.001240888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008570197,"about_ca_topic_score_gemma":0.02087156,"domain_scores_codex":[0.998596,0.0003053317,0.0001804482,0.0004042166,0.0003547342,0.0001592478],"domain_scores_gemma":[0.9956483,0.001832469,0.0004982359,0.001055821,0.0007465866,0.0002185382],"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":[0.0005926549,0.0001544684,0.01406211,0.002413627,0.0002032411,0.0001096128,0.0001448877,0.001002948,0.0009344163,0.001227266,0.9641502,0.01500447],"study_design_scores_gemma":[0.0006025741,0.0001535542,0.09990431,0.0009113735,0.0002227149,0.0004015748,0.0002933893,0.00204713,0.002491344,0.004923942,0.8879042,0.0001438851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002526473,0.0002052825,0.0002186622,0.0001179368,0.00004454713,0.0000265232,0.9954832,0.0002079199,0.001169428],"genre_scores_gemma":[0.00446432,0.00007788426,0.0005125509,0.00006101127,0.00001074455,0.0002058251,0.9937279,0.0000519429,0.0008878394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02537188,"threshold_uncertainty_score":0.08487737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05588304469980303,"score_gpt":0.2668931833985178,"score_spread":0.2110101386987148,"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."}}