{"id":"W2999241446","doi":"10.3390/brainsci10010041","title":"Insights from a Bibliometric Analysis of Vividness and Its Links with Consciousness and Mental Imagery","year":2020,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Université du Québec à Montréal; University of Ottawa","funders":"McGill University; University of Ottawa","keywords":"Multidisciplinary approach; Consciousness; Field (mathematics); Psychology; Citation; Discipline; Bibliometrics; Citation analysis; Similarity (geometry); Epistemology; Cognitive psychology; Data science; Social science; Sociology; Computer science; Library science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01285204,0.0005013492,0.001190035,0.1167258,0.001115967,0.006905964,0.00097008,0.000649749,0.002473661],"category_scores_gemma":[0.09830377,0.0002073496,0.0007572583,0.1676134,0.001836219,0.005379904,0.002980377,0.0006491427,0.0004441661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642281,"about_ca_system_score_gemma":0.002354643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003504992,"about_ca_topic_score_gemma":0.003835567,"domain_scores_codex":[0.9880829,0.003157825,0.001950866,0.001145565,0.00524973,0.0004130802],"domain_scores_gemma":[0.8407789,0.09561175,0.03413882,0.00679986,0.01984342,0.002827157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002490501,0.0001591571,0.6671036,0.007957812,0.001464577,0.000805162,0.01684077,0.003019372,0.004197005,0.03557971,0.008816984,0.2538068],"study_design_scores_gemma":[0.00002245169,0.0001673613,0.9107456,0.001204979,0.0005804903,0.00110054,0.01237816,0.004750218,0.001834468,0.02608556,0.04098571,0.000144437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8861385,0.02665685,0.01934268,0.005791608,0.0002813594,0.0002861382,0.01906295,0.0003585614,0.04208138],"genre_scores_gemma":[0.9826013,0.00501444,0.005881599,0.0001158385,0.0003518394,0.0001430353,0.005094681,0.0000378604,0.0007594036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8832743,"threshold_uncertainty_score":0.06796885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03970857876575356,"score_gpt":0.2926447224517866,"score_spread":0.2529361436860331,"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."}}