{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001959067,0.001715656,0.000820622,0.002604301,0.0009548609,0.007271594,0.002678906,0.001241638,0.0678653],"category_scores_gemma":[0.005337507,0.001145355,0.001352913,0.002349419,0.001019408,0.009418496,0.005244483,0.00292663,0.06599444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007373362,"about_ca_system_score_gemma":0.001519421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001572351,"about_ca_topic_score_gemma":0.001237516,"domain_scores_codex":[0.9982199,0.0002658195,0.0001370307,0.000421652,0.0008070677,0.0001485055],"domain_scores_gemma":[0.9978899,0.0005871718,0.00006009313,0.0008550056,0.0004499676,0.0001577933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001319857,0.000114628,0.0005096692,0.0004974887,0.00005999071,0.0001899684,0.0003810446,0.004020307,0.004912626,0.4258055,0.1526714,0.4107055],"study_design_scores_gemma":[0.00001744105,0.00003280517,0.0002183018,0.0002135664,0.00002807592,0.0001552525,0.00008479124,0.0157469,0.005598101,0.257654,0.7202196,0.00003107905],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003326404,0.003439202,0.6880353,0.003163596,0.0008892685,0.0006235231,0.007081816,0.03271228,0.2607286],"genre_scores_gemma":[0.0598029,0.006980212,0.6466789,0.002465469,0.001114128,0.001202669,0.04049513,0.01041767,0.230843],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0678653,"threshold_uncertainty_score":0.2270321,"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."}}