{"id":"W2542508357","doi":"10.1108/jd-06-2016-0073","title":"What everybody knows: embodied information in serious leisure","year":2017,"lang":"en","type":"article","venue":"Journal of Documentation","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Embodied cognition; Phenomenology (philosophy); Hobby; Sign (mathematics); Sociology; Reading (process); Amateur; Epistemology; Cognitive science; Computer science; Psychology; Visual arts; Political science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.000568012,0.00008111724,0.0001615805,0.0001971749,0.0001211212,0.0002263121,0.0002288962,0.0001062409,0.0008830367],"category_scores_gemma":[0.00002477412,0.00007316862,0.00005261189,0.00004789807,0.00004103758,0.007114331,0.00001323657,0.0002343792,0.0002948917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004935262,"about_ca_system_score_gemma":0.00002847902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004462442,"about_ca_topic_score_gemma":0.00004329693,"domain_scores_codex":[0.9990959,0.00004398568,0.0005016775,0.00006574563,0.0001552205,0.0001374517],"domain_scores_gemma":[0.9986469,0.00002044123,0.0009689132,0.000225779,0.00009793957,0.00004007342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001585703,0.0002269169,0.7581441,0.00003276566,0.0001467765,0.0001017115,0.01820417,0.0002037486,0.0002290555,0.002815652,0.01335828,0.2049511],"study_design_scores_gemma":[0.002586308,0.0002229121,0.973964,0.00008453098,0.00001853216,0.0001546269,0.002641842,0.00001794318,0.0001271056,0.0008593183,0.01923229,0.00009057583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792174,0.0002695031,0.00008840435,0.001065905,0.004519248,0.0001169646,9.399691e-7,0.000005880847,0.01471581],"genre_scores_gemma":[0.9984252,0.0003569009,0.0001158345,0.0003038229,0.0001891738,0.000005860843,0.000008130119,0.00000490675,0.0005902019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2158199,"threshold_uncertainty_score":0.9668633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956514335399904,"score_gpt":0.37805689168247,"score_spread":0.358491748328471,"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."}}