{"id":"W7021140387","doi":"","title":"Neuromarketing kinestésico: efectos del chocolate en el comportamiento del consumidor","year":2019,"lang":"es","type":"dissertation","venue":"Digital Repository (Universidad Politécnica de Cartagena)","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neuromarketing; Consumer society; Marketing communication; Mobile marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006834268,0.0002793193,0.000284223,0.0005041437,0.0005090832,0.002437102,0.0003320198,0.001057454,0.01292511],"category_scores_gemma":[0.002668988,0.0001880599,0.0003973781,0.0006649062,0.0007027166,0.001305622,0.001008417,0.0008777827,0.001706938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105596,"about_ca_system_score_gemma":0.001103604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00781985,"about_ca_topic_score_gemma":0.01375653,"domain_scores_codex":[0.9996949,0.0001034378,0.00001704562,0.00007773003,0.00006189577,0.00004499339],"domain_scores_gemma":[0.9990103,0.000509707,0.0001666398,0.00004996268,0.00013308,0.0001303213],"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":[0.0169042,0.002293208,0.1384975,0.003793365,0.000531797,0.001351721,0.006487666,0.00042245,0.018998,0.005004254,0.01188897,0.7938268],"study_design_scores_gemma":[0.0006637402,0.006119243,0.8571798,0.001913818,0.000904667,0.002001124,0.01047845,0.001134202,0.01139773,0.007570011,0.1004166,0.0002206212],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006438,0.04197228,0.001542385,0.008409116,0.0004468715,0.0001355802,0.0008004908,0.00008134278,0.04596817],"genre_scores_gemma":[0.9172485,0.03509931,0.002281996,0.00353944,0.0003460154,0.0001719355,0.0005128583,0.0001034035,0.04069664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01292511,"threshold_uncertainty_score":0.04323882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152562444307558,"score_gpt":0.2211958565627306,"score_spread":0.209670232119655,"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."}}