{"id":"W4252835831","doi":"10.5260/chara.23.1.20","title":"IBISWorld","year":2021,"lang":"en","type":"article","venue":"The Charleston Advisor","topic":"Marketing and Advertising Strategies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Variety (cybernetics); China; Marketing; Resource (disambiguation); Cover (algebra); Manufacturing; Commerce; Database; Engineering; Computer science; Political science","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":[0.002306308,0.001609921,0.001224313,0.01028627,0.001733916,0.01518781,0.002304713,0.002151547,0.3996094],"category_scores_gemma":[0.01047433,0.0008560349,0.0008869983,0.01385501,0.0005401037,0.007494969,0.0037812,0.002251537,0.3800973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002190664,"about_ca_system_score_gemma":0.003412268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008413184,"about_ca_topic_score_gemma":0.006998969,"domain_scores_codex":[0.9980361,0.0002599085,0.0002084772,0.0003399012,0.0008603045,0.0002954182],"domain_scores_gemma":[0.9948086,0.0007668923,0.0004558924,0.001076956,0.001573939,0.001317783],"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":[0.0001043297,0.00003066125,0.000286363,0.0003012388,0.00001088944,0.00004410171,0.00007662196,0.00006967387,0.0002927078,0.007187038,0.9290219,0.06257442],"study_design_scores_gemma":[0.000004437011,0.000003052685,0.000189059,0.00009108816,0.000002695591,0.00002988442,0.00003996294,0.0000388853,0.0001443752,0.0006097546,0.9988406,0.000006195854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001363295,0.006724644,0.002556514,0.00364644,0.001880798,0.0001334757,0.1077855,0.01622015,0.8596893],"genre_scores_gemma":[0.01256533,0.0110334,0.0111859,0.002931541,0.001165801,0.0004021163,0.3003372,0.01603898,0.6443398],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3996094,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629126483906846,"score_gpt":0.2098066305662518,"score_spread":0.1935153657271834,"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."}}