{"id":"W2911516934","doi":"10.1007/978-3-030-04506-7_2","title":"Analytics Building Blocks","year":2019,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in health care management and economics","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Analytics; Computer science; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004389698,0.0005513852,0.0007533717,0.0009209128,0.0001714423,0.0004401902,0.0005229687,0.0002747929,0.0004043805],"category_scores_gemma":[0.00001087441,0.0006410884,0.0001260946,0.0001038553,0.00009141698,0.0005732627,0.001071209,0.0004448017,0.000247762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003589735,"about_ca_system_score_gemma":0.00006781303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004539556,"about_ca_topic_score_gemma":0.0007482374,"domain_scores_codex":[0.9973729,0.000003137078,0.0009300318,0.000932105,0.0001609483,0.0006009055],"domain_scores_gemma":[0.9984761,0.00003262689,0.0006741743,0.0007049502,0.0000747258,0.00003737528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003520297,0.00001335143,0.002569235,0.005588036,0.00008800325,0.000019001,0.00004337234,0.0007899288,6.137595e-8,0.9115088,0.004366432,0.0749786],"study_design_scores_gemma":[0.0003169587,0.0000119848,0.0005618862,0.0008123112,0.00006675367,0.000001599342,0.0001138017,0.001661442,5.241972e-7,0.01080101,0.9850008,0.0006509481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001964791,0.006080083,0.000414172,0.001235845,0.002518194,0.001360016,0.00003924106,0.000145661,0.986242],"genre_scores_gemma":[0.128965,0.06257895,0.005397573,0.02819261,0.009077239,0.0001052952,0.001438805,0.0009467251,0.7632979],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9806343,"threshold_uncertainty_score":0.999604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03999328876695567,"score_gpt":0.2635710618546341,"score_spread":0.2235777730876785,"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."}}