{"id":"W3022807546","doi":"10.33723/rs.692827","title":"MARKOV ZİNCİRLERİ MODELLEMESİ İLE GENÇLERİN SPOR AYAKKABI MARKA TERCİHLERİNİN BELİRLENMESİ","year":2020,"lang":"tr","type":"article","venue":"R&S - Research Studies Anatolia Journal","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Nike; Mathematics; Business; Advertising","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001667254,0.001174935,0.001405534,0.001115561,0.001230748,0.003932612,0.00206387,0.001636092,0.02914576],"category_scores_gemma":[0.00623228,0.0007533944,0.001829767,0.001219964,0.001209597,0.00278134,0.001486554,0.002691766,0.005539384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002398062,"about_ca_system_score_gemma":0.002905089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03002954,"about_ca_topic_score_gemma":0.02692358,"domain_scores_codex":[0.9988585,0.0002720808,0.00005715184,0.000353967,0.0002859713,0.0001723642],"domain_scores_gemma":[0.9976436,0.00125174,0.0002634147,0.0001979439,0.0005437837,0.00009951102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006651705,0.0002865205,0.04708903,0.0009836984,0.000404409,0.001005749,0.001684326,0.4286649,0.004810135,0.3242624,0.02901267,0.161131],"study_design_scores_gemma":[0.00006635817,0.0001917473,0.0155672,0.0002983457,0.0001805446,0.0004692195,0.001105448,0.7671741,0.002711642,0.1646255,0.04742017,0.0001896211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1980343,0.004345702,0.6918961,0.005216115,0.000785013,0.0003987491,0.007517906,0.002109158,0.08969706],"genre_scores_gemma":[0.8107116,0.003445189,0.08245628,0.0006088709,0.0002671349,0.0005482339,0.006354024,0.0006248031,0.09498391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03002954,"threshold_uncertainty_score":0.09750223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2592606544160307,"score_gpt":0.3949408586098681,"score_spread":0.1356802041938374,"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."}}