{"id":"W2290231858","doi":"","title":"Destination British Columbia: Natürlich schön: destination brandindg","year":2015,"lang":"de","type":"article","venue":"Novum: das Forum für Kommunikations-Design","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nat; Computer science; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007077137,0.0005221362,0.0007227075,0.0004019439,0.003439529,0.002891389,0.001351465,0.0008638576,0.0007497707],"category_scores_gemma":[0.005101629,0.0008497964,0.0002566431,0.002814841,0.0007504339,0.002653977,0.0002792403,0.0009245159,0.001155567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424348,"about_ca_system_score_gemma":0.003158817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05468993,"about_ca_topic_score_gemma":0.06000761,"domain_scores_codex":[0.9923248,0.001879541,0.001243506,0.0008263415,0.00211223,0.001613525],"domain_scores_gemma":[0.9939572,0.001137737,0.0009826538,0.0009833435,0.001927356,0.001011669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003591852,0.003118877,0.0301258,0.0001380567,0.0005552649,0.0001709483,0.02291728,0.004771075,0.0005209306,0.02175171,0.8103365,0.1052343],"study_design_scores_gemma":[0.01018705,0.002239392,0.03058352,0.001704199,0.001216396,0.000179058,0.01445016,0.01328078,0.0004304219,0.05257481,0.8696465,0.003507723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3946064,0.02368413,0.4198473,0.02498202,0.02246547,0.01809491,0.0005080383,0.003479845,0.09233183],"genre_scores_gemma":[0.9568225,0.0009795224,0.02223773,0.0008077323,0.001006925,0.0002687043,0.0007006658,0.0001461037,0.01703008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5622161,"threshold_uncertainty_score":0.9996222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09480535180374597,"score_gpt":0.3559135166598945,"score_spread":0.2611081648561485,"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."}}