{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.02965086,0.00009194652,0.000418181,0.0006582314,0.00029692,0.0006173303,0.0006353719,0.00007342261,0.00003168865],"category_scores_gemma":[0.02029635,0.00007810853,0.0001769161,0.007864269,0.001403612,0.001222733,0.0000728964,0.000175291,0.000002440898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006951202,"about_ca_system_score_gemma":0.0003679795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001529814,"about_ca_topic_score_gemma":0.004299431,"domain_scores_codex":[0.9961751,0.001516721,0.0004057498,0.0001660783,0.001339394,0.0003970177],"domain_scores_gemma":[0.9924548,0.006665886,0.0003558341,0.00007376456,0.0003177694,0.000131989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004215766,0.0000302381,0.9850095,0.000008558198,0.00006587952,0.000007059135,0.003746653,0.0000384028,0.0000288328,0.00001577018,0.004044905,0.006962055],"study_design_scores_gemma":[0.00009849446,0.0001018908,0.9768454,0.00005179215,0.00002513347,4.030617e-7,0.02034933,0.0000539554,0.00001564449,0.0000701654,0.002281898,0.0001059203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787943,0.00008925264,0.000006545111,0.001578536,0.0003938172,0.00005372075,0.00005153803,0.00001641182,0.01901593],"genre_scores_gemma":[0.9986515,0.000182649,0.00002988529,0.00001507543,0.00006995063,8.303974e-7,0.000005074027,0.000004813091,0.001040211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01985726,"threshold_uncertainty_score":0.9991786,"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."}}