{"id":"W4233473999","doi":"10.1002/1520-6386(200033)11:3<107::aid-cir11>3.0.co;2-0","title":"Book reviews","year":2000,"lang":"en","type":"article","venue":"Competitive Intelligence Review","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Helicon; Citation; Quarter (Canadian coin); Library science; Computer science; Operations research; History; Engineering; Physics; Nuclear physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007253764,0.000415046,0.0007654685,0.0001376654,0.000195843,0.0001500295,0.0008037272,0.00005899699,0.173783],"category_scores_gemma":[0.0003476729,0.000350431,0.0003984531,0.0009850074,0.0002143946,0.001020444,0.0001456342,0.0002955903,0.1198521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005145932,"about_ca_system_score_gemma":0.00003167842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003922067,"about_ca_topic_score_gemma":0.00002843117,"domain_scores_codex":[0.9976699,0.00005817046,0.0008733474,0.0006103123,0.000288485,0.0004998309],"domain_scores_gemma":[0.9986366,0.0001187854,0.0002388524,0.0006102217,0.0003551406,0.00004041582],"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":[0.00001064143,0.000110217,0.0001355436,0.002610365,0.00001717046,0.00002499323,0.00001415681,0.000001732912,0.0000129038,0.1088786,0.1235584,0.7646253],"study_design_scores_gemma":[0.00003048966,0.00001516242,0.00008930758,0.009504417,0.00007531817,0.00001470842,0.00001796681,0.00009755932,0.0001394994,0.001645928,0.9879332,0.0004364929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002229465,0.5514986,0.00147903,0.001328516,0.000242846,0.0007817438,0.0000022155,0.000132007,0.4445128],"genre_scores_gemma":[0.001828884,0.8910754,0.0001610759,0.08467323,0.001480672,0.0002078465,0.00003355188,0.00004719945,0.02049214],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8643748,"threshold_uncertainty_score":0.9998948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03681095741376872,"score_gpt":0.2907942204359124,"score_spread":0.2539832630221436,"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."}}