{"id":"W6894291905","doi":"10.5683/sp3/f9ngdo","title":"Essentiel Excel","year":2019,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Polynomial and algebraic computation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Work (physics); Microsoft excel; Statistical analysis; Ms excel","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":[],"category_scores_codex":[0.000236981,0.0004500064,0.0004918653,0.0001776032,0.0001606039,0.0005134945,0.001801188,0.0003553627,0.0001686711],"category_scores_gemma":[0.00007113821,0.0004526654,0.0002410402,0.0003515572,0.0001378989,0.0005094961,0.0008237754,0.0004101836,0.001936002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009716725,"about_ca_system_score_gemma":0.0003836179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02673857,"about_ca_topic_score_gemma":0.001505793,"domain_scores_codex":[0.9974065,0.0001208601,0.0004928703,0.0008442394,0.0005382849,0.0005971901],"domain_scores_gemma":[0.9976146,0.0002025741,0.0003351482,0.001476393,0.0001423956,0.0002289563],"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":[0.000006659298,0.0001199337,0.000007057333,0.0001490342,0.0000467976,0.00006621465,0.0002002414,0.0001005364,0.000009244015,0.007288188,0.9660448,0.02596131],"study_design_scores_gemma":[0.0003354872,0.00008980758,0.001562873,0.0001613325,0.00005487753,0.00004817477,0.00001137927,0.01152432,0.00004450312,0.001745119,0.9838961,0.000526079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003226276,0.0007160651,0.02357063,0.004017566,0.003938843,0.0003265751,0.9644332,0.00007616655,0.00288868],"genre_scores_gemma":[0.0000794985,0.0002037426,0.001106497,0.00169944,0.001240546,0.00001750983,0.9898114,0.00002286668,0.005818476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02543523,"threshold_uncertainty_score":0.9997925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065098216602102,"score_gpt":0.2650074431741622,"score_spread":0.2343564610081412,"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."}}