{"id":"W7117420099","doi":"10.1093/nc/niaf052","title":"Now is the time: operationalizing generative neurophenomenology through interpersonal methods","year":2025,"lang":"en","type":"article","venue":"Neuroscience of Consciousness","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Institutes of Health Research; CHU Sainte-Justine Foundation; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Fonds de recherche du Québec; Canada First Research Excellence Fund; Usona Institute; McGill University","keywords":"Generative grammar; Intersubjectivity; Operationalization; Experiential learning; Interpersonal communication; Phenomenology (philosophy); Perspective (graphical); Embodied cognition","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003757474,0.00019221,0.0002446673,0.0001282438,0.0006419155,0.000123444,0.0008120302,0.00006069503,0.0001154841],"category_scores_gemma":[0.001101924,0.0001399884,0.00009018948,0.0009615723,0.001517529,0.0003952558,0.0002559191,0.0002616411,0.00004173108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002620234,"about_ca_system_score_gemma":0.0002337269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006754056,"about_ca_topic_score_gemma":0.000002753377,"domain_scores_codex":[0.9976596,0.0006476681,0.0003458041,0.0006791013,0.0003246783,0.0003431418],"domain_scores_gemma":[0.998519,0.0007788335,0.0001455609,0.0003695463,0.0001462281,0.00004079891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002477985,0.00006040919,0.00003708438,0.00001016816,0.000002158409,0.000005753232,0.000750305,0.0001041281,0.7712687,0.2227851,0.001435714,0.003515676],"study_design_scores_gemma":[0.0003986776,0.0001385114,0.0001592383,0.00003845142,0.00002558078,0.00005068128,0.0001895438,0.01413726,0.8617455,0.1038492,0.01905132,0.0002160055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1571449,0.0004965224,0.1351196,0.1077653,0.008983891,0.002115334,0.0001891069,0.0004584934,0.5877268],"genre_scores_gemma":[0.943818,0.000113477,0.002261374,0.05070234,0.00005957102,0.00005471466,0.000001319858,0.00001510973,0.002974128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.786673,"threshold_uncertainty_score":0.5708563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04380357398822447,"score_gpt":0.3587163057847613,"score_spread":0.3149127317965368,"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."}}