{"id":"W4402388658","doi":"10.1080/00150517.2022.12427449","title":"The Self-Counting Flow","year":2022,"lang":"en","type":"article","venue":"˜The œFibonacci quarterly","topic":"Flow Experience in Various Fields","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flow (mathematics); Computer science; Mathematics; Geometry","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":[0.001162936,0.0001953766,0.0002044716,0.001092786,0.001732212,0.001578672,0.0003631058,0.0006894183,0.006151299],"category_scores_gemma":[0.004132786,0.0001196698,0.0002477154,0.0004774564,0.004483472,0.003434237,0.001187677,0.001033906,0.0006002875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009235704,"about_ca_system_score_gemma":0.0008594741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007267389,"about_ca_topic_score_gemma":0.0003630221,"domain_scores_codex":[0.9994797,0.0001545879,0.0000238345,0.0001220582,0.000153683,0.00006615651],"domain_scores_gemma":[0.9989246,0.0004162895,0.0001346183,0.0001540577,0.0002370727,0.0001334113],"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":[0.000006316765,0.000006548694,0.0002272416,0.00001240519,0.00000100716,0.0000241272,0.0007541028,0.0001193005,0.0003313179,0.9906996,0.0008685367,0.006949586],"study_design_scores_gemma":[0.000007884923,0.00003648508,0.0008202106,0.00003337858,0.000003543367,0.0002750305,0.0005242995,0.002179259,0.0007158194,0.9610442,0.03434429,0.00001551024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3026641,0.003094442,0.2320042,0.005772326,0.001130997,0.0001140491,0.0002064232,0.0002783739,0.4547352],"genre_scores_gemma":[0.9407819,0.0009479367,0.03060785,0.0006786117,0.0003507108,0.00009158537,0.00009934806,0.00007844425,0.02636365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006151299,"threshold_uncertainty_score":0.02057809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00993893982537049,"score_gpt":0.2671516545814278,"score_spread":0.2572127147560573,"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."}}