{"id":"W4399828189","doi":"10.32920/26052565","title":"Digital Marketing Research Plan for Increasing Brand Awareness of Kranicz Orchards","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Plan (archaeology); Business; Marketing; Marketing plan; Digital marketing; Advertising; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001564059,0.0002778322,0.0001712208,0.001453443,0.001218279,0.003669469,0.0007641784,0.0006163754,0.02596281],"category_scores_gemma":[0.002657161,0.000155846,0.0003732683,0.001412525,0.0004799679,0.003071771,0.0008922492,0.0009215574,0.00257813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003699142,"about_ca_system_score_gemma":0.005250489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02969642,"about_ca_topic_score_gemma":0.08422252,"domain_scores_codex":[0.9995165,0.00009397515,0.00001200983,0.0001008408,0.0001780932,0.00009857522],"domain_scores_gemma":[0.9973901,0.0005394199,0.0002860093,0.0002204722,0.0008448468,0.0007192352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007114632,0.003575142,0.08598533,0.001020727,0.0001070737,0.0003367806,0.005345669,0.0007478877,0.0164586,0.02781463,0.04020308,0.8176937],"study_design_scores_gemma":[0.000336788,0.002208514,0.4367199,0.001141834,0.0003886845,0.0002694571,0.02772198,0.005295749,0.01693571,0.01784198,0.4910274,0.0001121112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6237293,0.003551852,0.005540436,0.02309196,0.0004418293,0.001392514,0.002143162,0.0006136356,0.3394952],"genre_scores_gemma":[0.897718,0.003371473,0.02713453,0.002270183,0.0001358737,0.0004122513,0.001471154,0.00009920345,0.06738731],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02969642,"threshold_uncertainty_score":0.08685422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2109066243489022,"score_gpt":0.3884318774154569,"score_spread":0.1775252530665546,"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."}}