{"id":"W4393221165","doi":"10.18060/27969","title":"An Introduction to Statistics for Librarians (Part Three): An Introduction to Statistical Tests","year":2024,"lang":"en","type":"article","venue":"Hypothesis Research Journal for Health Information Professionals","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Statistics; Data science; Computer science; Library science; Mathematics","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":[0.01310906,0.002084805,0.001901587,0.005684026,0.001069473,0.004452544,0.001996057,0.002852287,0.1100394],"category_scores_gemma":[0.06281045,0.002133085,0.001680687,0.006974243,0.002393212,0.005690255,0.00243445,0.008816808,0.1382516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316511,"about_ca_system_score_gemma":0.002521165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104001,"about_ca_topic_score_gemma":0.001496586,"domain_scores_codex":[0.9909278,0.004229224,0.001351884,0.0005502448,0.002734778,0.000206126],"domain_scores_gemma":[0.9115171,0.07224067,0.003015548,0.003322973,0.008401268,0.00150243],"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":[0.00004916436,0.000114275,0.0004038328,0.001013342,0.00002458339,0.0001317356,0.0002373296,0.0006575155,0.00128602,0.01214853,0.8324802,0.1514536],"study_design_scores_gemma":[0.00002582722,0.0001319387,0.001765338,0.000955949,0.0000115584,0.0005359923,0.0001675422,0.0009111243,0.0005149689,0.0386215,0.9562814,0.0000768206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001431007,0.03746965,0.7046849,0.04548474,0.03540098,0.003262343,0.01990961,0.02851027,0.1238465],"genre_scores_gemma":[0.00850908,0.06504427,0.6195443,0.05644384,0.05360571,0.008562105,0.0198489,0.02012121,0.1483205],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1100394,"threshold_uncertainty_score":0.3681186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4375629916689616,"score_gpt":0.5842964913443752,"score_spread":0.1467334996754136,"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."}}