{"id":"W4406091362","doi":"","title":"Comprehensive Bibliometric Analysis of Commercial Recreation Research: WoS Database Example (1986 - 2023)","year":2024,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Education Practices and Challenges","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Database; Data science; Geography; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004076399,0.0004207679,0.001147093,0.07257744,0.000872097,0.002845376,0.0007039973,0.0007856435,0.004770178],"category_scores_gemma":[0.01982194,0.0002094836,0.001060911,0.1509344,0.0003439932,0.001638943,0.001506629,0.0004026502,0.001990883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002568463,"about_ca_system_score_gemma":0.00507552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02302189,"about_ca_topic_score_gemma":0.02723132,"domain_scores_codex":[0.9917823,0.001208158,0.002277362,0.0008223151,0.003313078,0.0005968027],"domain_scores_gemma":[0.97994,0.007764185,0.004619043,0.001109213,0.005971916,0.0005954657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000913436,0.0004779628,0.5019067,0.02765818,0.001208992,0.002201781,0.008595574,0.005586995,0.005592604,0.01713946,0.1490151,0.2797033],"study_design_scores_gemma":[0.00005145911,0.0001221209,0.7996046,0.00158019,0.0003607726,0.0007719781,0.00654209,0.002779668,0.001891719,0.001337477,0.1848885,0.00006932094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3293379,0.009425577,0.001934799,0.001165467,0.0001060089,0.0006816398,0.6306316,0.0002954195,0.02642157],"genre_scores_gemma":[0.4598182,0.007934444,0.0128121,0.0001792337,0.0001792957,0.001921979,0.511949,0.00009142313,0.005114387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9274226,"threshold_uncertainty_score":0.04577577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3548049798051454,"score_gpt":0.3733958529377446,"score_spread":0.01859087313259927,"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."}}