{"id":"W4412560899","doi":"10.31219/osf.io/5wuyn_v2","title":"Now is the Time: Operationalizing Generative Neurophenomenology through Interpersonal Methods","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Usona Institute; CHU Sainte-Justine Foundation; McGill University","keywords":"Operationalization; Generative grammar; Interpersonal communication; Psychology; Computer science; Social psychology; Artificial intelligence; Epistemology; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01170298,0.0009351412,0.0006520054,0.002729152,0.002506158,0.008187976,0.003071014,0.001692442,0.00548546],"category_scores_gemma":[0.02549353,0.0006045382,0.001646506,0.001784785,0.02203161,0.01156507,0.007318246,0.002855195,0.0005694919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003206658,"about_ca_system_score_gemma":0.002690262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002002609,"about_ca_topic_score_gemma":0.001883964,"domain_scores_codex":[0.9909495,0.007007225,0.0002725588,0.0008342207,0.0006990411,0.0002375439],"domain_scores_gemma":[0.9818475,0.01383959,0.001085129,0.002382205,0.0005168389,0.0003286038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008529506,0.00002274392,0.0006639712,0.00009176837,0.00002249009,0.00009546461,0.01267514,0.002317613,0.0001779511,0.9753354,0.0002553757,0.008333479],"study_design_scores_gemma":[0.00001015995,0.00001643374,0.0005149491,0.0001238191,0.00001913186,0.0001269415,0.004178747,0.01662829,0.0002645685,0.9693704,0.008726018,0.00002042974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02244423,0.0006637499,0.9352804,0.002617173,0.0001164048,0.0002413985,0.0001030287,0.000139717,0.03839392],"genre_scores_gemma":[0.6154224,0.0007762599,0.3776828,0.0005408949,0.0001309562,0.001168695,0.0001689505,0.0001811777,0.003927885],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01170298,"threshold_uncertainty_score":0.06189203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09575971435498307,"score_gpt":0.3956606397796569,"score_spread":0.2999009254246738,"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."}}