{"id":"W6930245077","doi":"10.5281/zenodo.11810618","title":"understanding canadian business 11th edition pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Government (linguistics); Headline; Gloom","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001858661,0.0002672057,0.0004182405,0.0006873999,0.0006467574,0.0008032921,0.0008138739,0.0003483014,0.2654995],"category_scores_gemma":[0.02436191,0.0002719021,0.0000865105,0.0008163612,0.0002429134,0.00005839034,0.000531082,0.0005898359,0.08915676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007219946,"about_ca_system_score_gemma":0.0000208191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008410674,"about_ca_topic_score_gemma":0.0001399652,"domain_scores_codex":[0.9971854,0.0007438659,0.0004548637,0.0006110995,0.0005111916,0.0004935519],"domain_scores_gemma":[0.9978881,0.0006335691,0.0002038633,0.0005985873,0.0002777651,0.0003981467],"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":[0.000009200159,0.00003126352,4.379773e-8,0.0004583173,0.00008780478,0.00004460699,0.00006136806,3.611127e-7,0.000008934111,0.1296516,0.8657488,0.003897752],"study_design_scores_gemma":[0.000201113,0.000043802,0.000002358214,0.0004494239,0.00007595228,0.00002898375,0.00007272452,0.00002434032,0.000003864806,0.2328635,0.7660105,0.0002234328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[5.375989e-7,0.00005588785,0.1073486,0.0007454435,0.00104472,0.000571801,0.001402279,0.001117409,0.8877133],"genre_scores_gemma":[0.0006923031,0.0003410664,0.05830837,0.0003268141,0.004393934,2.155412e-7,0.001663316,0.030892,0.903382],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1763427,"threshold_uncertainty_score":0.9999733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5738663899843082,"score_gpt":0.4472729811135459,"score_spread":0.1265934088707623,"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."}}