{"id":"W937585055","doi":"","title":"Guides: Industry information and business planning: Industry Information","year":2015,"lang":"en","type":"libguides","venue":"","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Information industry; Business information; Information system; Marketing; Engineering; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001726701,0.001438568,0.001068731,0.009636573,0.001446927,0.003997147,0.002030744,0.001567439,0.5502161],"category_scores_gemma":[0.01461228,0.001713893,0.000610001,0.0159359,0.0003791192,0.004089631,0.001483169,0.001638464,0.4453455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003830742,"about_ca_system_score_gemma":0.01314602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2414345,"about_ca_topic_score_gemma":0.3952837,"domain_scores_codex":[0.9985675,0.0001200067,0.0001140367,0.0001264509,0.0009291369,0.0001429528],"domain_scores_gemma":[0.9824114,0.002891118,0.0005863619,0.001109389,0.01183994,0.001161708],"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":[0.000006075238,0.00001651035,0.0001795746,0.00005101231,0.000001042283,0.000006729461,0.00003261358,0.0001076864,0.00002424468,0.0005268964,0.9816092,0.01743837],"study_design_scores_gemma":[0.00001984525,0.000006404643,0.00184292,0.0001317071,0.000002934553,0.00001978572,0.00007623657,0.0004401047,0.0001990415,0.001417816,0.9958271,0.0000161033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008710073,0.0004996784,0.00587293,0.001751993,0.0002445383,0.0004677577,0.519498,0.02108537,0.4497087],"genre_scores_gemma":[0.00300311,0.001164177,0.01652047,0.0006703011,0.0001697351,0.0004740661,0.3416418,0.0081394,0.6282169],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5502161,"threshold_uncertainty_score":0.6415621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05321721498283848,"score_gpt":0.2368450181294702,"score_spread":0.1836278031466317,"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."}}