{"id":"W4402388658","doi":"10.1080/00150517.2022.12427449","title":"The Self-Counting Flow","year":2022,"lang":"en","type":"article","venue":"The Fibonacci 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00104668,0.0002116858,0.00016681,0.0000521424,0.001905518,0.0001837899,0.001330462,0.00008645612,0.002721814],"category_scores_gemma":[0.000008999292,0.0001429591,0.0001517387,0.0003713532,0.0001125239,0.00009011231,0.0001152246,0.0007943002,0.001014929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001063903,"about_ca_system_score_gemma":0.00007781776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005092297,"about_ca_topic_score_gemma":0.0003867351,"domain_scores_codex":[0.9975221,0.0004557495,0.0003932065,0.0004290665,0.0005076237,0.0006922604],"domain_scores_gemma":[0.997924,0.0006238671,0.00015374,0.001186432,0.00004762911,0.00006435202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000299685,0.0005175253,0.002972464,0.0000103382,0.0003776327,0.000202261,0.3797308,0.0001531128,0.000453364,0.0583942,0.2343443,0.3225444],"study_design_scores_gemma":[0.0005823216,0.0009111094,0.003864368,0.000002593888,0.00003153957,0.000255057,0.05154275,0.003634194,0.000006949617,0.003977809,0.9348406,0.0003507677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8559144,0.001368598,0.000870199,0.009248521,0.01430723,0.001190378,0.00003194954,0.0009042999,0.1161645],"genre_scores_gemma":[0.9890835,0.000001661441,0.000190851,0.001667642,0.0004728863,0.000698929,0.000005911406,0.0000479316,0.007830732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7004963,"threshold_uncertainty_score":0.9997629,"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."}}