{"id":"W4403227292","doi":"10.53555/sfs.v10i3.2890","title":"Analysis Of How Digital Marketing Affect By Voice Search","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); Business; Marketing; Advertising; Psychology; Communication","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":[0.001020313,0.0001738099,0.0002577888,0.00204767,0.0005732217,0.003443767,0.0002597168,0.0004982428,0.01082608],"category_scores_gemma":[0.01268804,0.0000945898,0.0004953857,0.00258677,0.0003766946,0.002388438,0.0006495924,0.0006419754,0.001667323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243396,"about_ca_system_score_gemma":0.0004869676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005086828,"about_ca_topic_score_gemma":0.00485027,"domain_scores_codex":[0.9989555,0.0003333444,0.00007404953,0.000111646,0.0003523516,0.0001730375],"domain_scores_gemma":[0.985424,0.009462902,0.00228353,0.0003571105,0.001653157,0.0008192665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006546499,0.0004864333,0.9139839,0.0002198475,0.000134457,0.0004064578,0.006237799,0.0004481293,0.001440152,0.003320634,0.003169654,0.06949802],"study_design_scores_gemma":[0.00001167663,0.0001526138,0.9823663,0.00004106981,0.00008551859,0.000197055,0.008348423,0.001677591,0.0004926058,0.0005841907,0.006025961,0.00001692084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666902,0.0006346873,0.0001539243,0.0004828607,0.00001635726,0.00004264112,0.0005290913,0.00002551765,0.03142474],"genre_scores_gemma":[0.9956856,0.000223344,0.00009677748,0.00005399758,0.00002876124,0.00001761365,0.0002631041,0.0000102195,0.003620726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082608,"threshold_uncertainty_score":0.03621686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1477623224398705,"score_gpt":0.3330928089218519,"score_spread":0.1853304864819814,"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."}}