{"id":"W4315786427","doi":"10.1140/epjp/s13360-022-03629-z","title":"Six textbook mistakes in data analysis","year":2023,"lang":"en","type":"article","venue":"The European Physical Journal Plus","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Information retrieval; Psychology; Data science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002871725,0.0001029292,0.0002371496,0.0001540585,0.0001259276,0.00009999982,0.0008681624,0.00001006687,0.00003361151],"category_scores_gemma":[0.002811868,0.00006292744,0.00008963396,0.0007800987,0.00008198582,0.00006726151,0.0001344973,0.000340448,0.0004496559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003280623,"about_ca_system_score_gemma":0.00004760014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000439967,"about_ca_topic_score_gemma":0.00001161801,"domain_scores_codex":[0.9978207,0.001298628,0.0002617246,0.0001687053,0.0002360043,0.000214213],"domain_scores_gemma":[0.9963164,0.002761641,0.0001438551,0.000663252,0.00004355063,0.00007133584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007788508,0.000345821,0.0002644563,0.00005425063,0.0009425288,0.0004785804,0.01869935,0.001851056,0.001156944,0.04027681,0.8519915,0.08386086],"study_design_scores_gemma":[0.001314462,0.00007022121,0.03958671,0.00008767466,0.001497649,0.00008962573,0.01226242,0.02246289,0.000126313,0.8805066,0.04139626,0.0005992157],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3866172,0.0002677345,0.08596842,0.01178685,0.002650875,0.000697337,0.0004953718,0.0008077038,0.5107086],"genre_scores_gemma":[0.9546193,0.00009045366,0.01942771,0.0003382195,0.00325822,0.000003358757,0.0000990526,0.00009275512,0.02207088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8402297,"threshold_uncertainty_score":0.5779567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4094351594043956,"score_gpt":0.4661759266386742,"score_spread":0.05674076723427862,"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."}}