{"id":"W6961363350","doi":"10.14457/tu.the.2022.780","title":"Market basket analysis of drug store in quarter period since 2018 to 2020","year":2022,"lang":"en","type":"dataset","venue":"NRCT Data Center","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competitor analysis; Product (mathematics); Competition (biology); Order (exchange); Promotion (chess); Market share; Sales promotion; Affinity analysis; Quarter (Canadian coin); Distribution (mathematics)","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":[0.0008009181,0.0009911446,0.0008161363,0.004001631,0.0005327175,0.001495187,0.001042567,0.0008272916,0.01495742],"category_scores_gemma":[0.003767967,0.0002770656,0.001166275,0.004668662,0.0002337896,0.0008971444,0.0009677183,0.0009303134,0.01389924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479681,"about_ca_system_score_gemma":0.001225591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05405622,"about_ca_topic_score_gemma":0.08491974,"domain_scores_codex":[0.9990909,0.00008597731,0.0001595279,0.0002502967,0.000266872,0.0001464508],"domain_scores_gemma":[0.9977082,0.000303473,0.0004990648,0.0002881534,0.001006837,0.0001943435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007575828,0.0002609379,0.06995168,0.001229156,0.0002051224,0.0001654673,0.000119788,0.001324263,0.0004416209,0.001121118,0.9061587,0.0182645],"study_design_scores_gemma":[0.000510118,0.0002244337,0.460248,0.0006478783,0.0001759121,0.0004314105,0.0007610669,0.006057951,0.001227839,0.0009622719,0.5286113,0.0001418215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007156845,0.00012695,0.00006776155,0.0001090777,0.00003383971,0.00002820183,0.9911959,0.0001537092,0.001127744],"genre_scores_gemma":[0.007482983,0.00008908042,0.0002635947,0.00004706442,0.00001404369,0.0000825492,0.9909213,0.00001938233,0.001080118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05405622,"threshold_uncertainty_score":0.1074831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501155894209522,"score_gpt":0.2350200610869007,"score_spread":0.2000085021448054,"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."}}