{"id":"W3041905502","doi":"10.14267/veztud.2020.07-08.01","title":"Társadalmi innováció a városi desztinációk versenyképességének szolgálatában. Fókuszban az éjszakai gazdaság hatásainak menedzselése","year":2020,"lang":"hu","type":"article","venue":"Vezetéstudomány / Budapest Management Review","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Social Fund; European Commission","keywords":"Quarter (Canadian coin); Tourism; Politics; Context (archaeology); Economy; Political science; Business; Geography; Economics","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.003245304,0.001497161,0.002711786,0.0002445814,0.003027719,0.0007199892,0.002381494,0.0004072637,0.006880107],"category_scores_gemma":[0.0007961686,0.001601837,0.001072489,0.00328945,0.00126178,0.0009851769,0.00143916,0.0009720126,0.01479381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216468,"about_ca_system_score_gemma":0.000718182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009437576,"about_ca_topic_score_gemma":0.0003908177,"domain_scores_codex":[0.9896736,0.00123006,0.002648817,0.00244385,0.001706903,0.002296752],"domain_scores_gemma":[0.9951613,0.0004935812,0.00154407,0.001114518,0.0004819464,0.001204602],"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":[0.0001139046,0.001021404,0.00326184,0.01075553,0.003028851,0.0002055528,0.02513207,0.00002149135,0.000008161688,0.1394452,0.7378668,0.07913923],"study_design_scores_gemma":[0.001393965,0.0002116009,0.003110899,0.003454665,0.001993553,0.000004385708,0.02135508,0.00003430172,0.000004295494,0.0005959973,0.9661826,0.001658655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.004328726,0.280081,0.0002514419,0.2041817,0.005348888,0.009371271,0.0001749142,0.00075933,0.4955028],"genre_scores_gemma":[0.2686097,0.6529188,0.001439818,0.04999777,0.004609986,0.001016135,0.0001860691,0.0002554984,0.02096626],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4745365,"threshold_uncertainty_score":0.9997777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06030616544583718,"score_gpt":0.3159720356744674,"score_spread":0.2556658702286302,"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."}}