{"id":"W1577730630","doi":"10.1002/9781118445112.stat01372","title":"Minard, Charles Joseph","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Encyclopedia; Citation; Library science; Computer 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002122872,0.0006144423,0.0007354119,0.0005070636,0.0001061245,0.0003484835,0.001996849,0.0003410222,0.00209822],"category_scores_gemma":[0.0002277014,0.0005703698,0.00006689183,0.0004596452,0.0001854946,0.0001447834,0.0005231213,0.0004374843,0.001512617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006412287,"about_ca_system_score_gemma":0.0003042812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001579298,"about_ca_topic_score_gemma":0.000804585,"domain_scores_codex":[0.9968021,0.0001592544,0.0006364457,0.0009727202,0.0008216196,0.0006078787],"domain_scores_gemma":[0.9970562,0.0001480606,0.0006592197,0.001555996,0.000238234,0.0003422221],"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":[0.000002069859,0.0001401792,0.00001645888,0.0001238602,0.00004849916,0.00003029139,0.00003784293,0.000003866798,0.000004769148,0.228926,0.7362622,0.0344039],"study_design_scores_gemma":[0.0003591041,0.0001304495,0.00003118662,0.0004139525,0.00004828238,0.000007459345,0.0000176192,0.02431509,0.000004585188,0.004629366,0.9693488,0.0006941108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[7.580131e-7,0.0006474092,0.9219543,0.000165024,0.0006135084,0.0002210874,0.02115302,0.0005854259,0.05465946],"genre_scores_gemma":[0.00004897404,0.006051091,0.516965,0.001001984,0.0004919617,0.00001491655,0.01537055,0.0004194232,0.4596361],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4049893,"threshold_uncertainty_score":0.9996748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03634774108868412,"score_gpt":0.3222537985182169,"score_spread":0.2859060574295328,"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."}}