{"id":"W2994735044","doi":"10.1080/14775085.2019.1702582","title":"Similarities and differences in constraints and constraint negotiation among Japanese sport tourists: a case of masters games participants","year":2019,"lang":"en","type":"article","venue":"Journal of Sport & Tourism","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Negotiation; Typology; Constraint (computer-aided design); Tourism; Interpersonal communication; Advertising; Sports tourism; Psychology; Political science; Business; Marketing; Social psychology; Sociology; Tourism geography; Engineering; Law","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":[0.0007450557,0.0001960444,0.0006531266,0.0003335912,0.00002918448,0.00004372436,0.0001055709,0.0001257662,0.0004683668],"category_scores_gemma":[0.00001607191,0.0001702348,0.00007063367,0.00009298044,0.0004484839,0.0003050638,0.00003689072,0.000234082,0.000002062684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003850506,"about_ca_system_score_gemma":0.000048202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009377967,"about_ca_topic_score_gemma":0.0002344749,"domain_scores_codex":[0.9982136,0.00003402362,0.0009665654,0.0002340821,0.0002648131,0.0002869128],"domain_scores_gemma":[0.998561,0.00006610232,0.000934931,0.0001840954,0.0001062533,0.0001476555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001407836,0.0001423207,0.9847903,0.0001171805,0.000146088,0.003300161,0.007898794,0.0000151282,0.00001408459,0.0005066296,0.0001358143,0.002792699],"study_design_scores_gemma":[0.00163783,0.0002146761,0.9690335,0.0002875478,0.0001186231,0.001334679,0.02678849,0.00008877097,0.00002006576,0.0002619005,0.0000584283,0.0001554997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965279,0.000351536,0.00002550626,0.0001734527,0.0003757087,0.0003393975,0.000004799461,0.000007569124,0.002194173],"genre_scores_gemma":[0.9989461,0.0001365452,0.0001478604,0.00002140702,0.00008903354,0.000006623468,0.000002543138,0.00001462087,0.0006352779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0188897,"threshold_uncertainty_score":0.6941972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043659254341556,"score_gpt":0.2760505224188993,"score_spread":0.2556139298754838,"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."}}