{"id":"W3173486195","doi":"10.5539/ass.v17n7p13","title":"DESCONTMARKS: Scale Development and Validation","year":2021,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Scale (ratio); Marketing; Destination marketing; Dimension (graph theory); Context (archaeology); Order (exchange); Business; Marketing research; Destinations; Geography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03806395,0.0009571302,0.001103524,0.003492842,0.001730563,0.001557473,0.001784514,0.0009993784,0.007945643],"category_scores_gemma":[0.08820271,0.0009512949,0.001660686,0.002596107,0.001599699,0.001557332,0.002487857,0.001655157,0.003068333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012662,"about_ca_system_score_gemma":0.00562896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002232292,"about_ca_topic_score_gemma":0.003319115,"domain_scores_codex":[0.9790821,0.008884555,0.003098754,0.001350344,0.007035028,0.0005491369],"domain_scores_gemma":[0.9136469,0.03629088,0.002100633,0.007511795,0.03944406,0.001005703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002092753,0.005803816,0.1418898,0.003169353,0.0003674805,0.0007408134,0.02356164,0.004052629,0.01910824,0.02044508,0.03367002,0.7450984],"study_design_scores_gemma":[0.002638844,0.009561879,0.5530536,0.002446852,0.00066922,0.001287662,0.02238004,0.03348677,0.03087972,0.0215547,0.3215347,0.0005061398],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6171309,0.00086146,0.2008692,0.001436243,0.001096555,0.1194504,0.007698129,0.001764627,0.04969237],"genre_scores_gemma":[0.3936819,0.0009378683,0.368342,0.0005984518,0.0002533627,0.2120658,0.009035533,0.0007165631,0.01436851],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03806395,"threshold_uncertainty_score":0.2013038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310813791267255,"score_gpt":0.3384149323350976,"score_spread":0.3073335532083721,"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."}}