{"id":"W4408574967","doi":"10.18060/28737","title":"Statistics For Librarians: Probability and Odds","year":2025,"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":"Odds; Statistics; Probability and statistics; Computer science; Mathematics; Logistic regression","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":[0.01519155,0.001311603,0.002112097,0.009215929,0.001684622,0.01021971,0.001369699,0.003594929,0.04269848],"category_scores_gemma":[0.2262739,0.001114054,0.0007778654,0.01640403,0.006119614,0.01249502,0.002804859,0.011413,0.02671156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002163381,"about_ca_system_score_gemma":0.003659156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002006514,"about_ca_topic_score_gemma":0.002100983,"domain_scores_codex":[0.9768019,0.01301508,0.002086446,0.001099212,0.006706185,0.0002910757],"domain_scores_gemma":[0.8368972,0.1372184,0.005631139,0.006042286,0.01231287,0.001898038],"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":[0.00005306443,0.00002416508,0.001151076,0.0007449185,0.00004952417,0.00007970398,0.0002646077,0.0005362863,0.0001131209,0.1131783,0.7419204,0.1418847],"study_design_scores_gemma":[0.00002909138,0.00006181288,0.001785134,0.001599046,0.00003220126,0.0005446279,0.0006472661,0.0021408,0.0002482237,0.3220462,0.6707935,0.00007207119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.001693878,0.2745769,0.205813,0.346502,0.06571744,0.0002516992,0.004701657,0.003877423,0.096866],"genre_scores_gemma":[0.05790567,0.3272361,0.2074288,0.1124416,0.2045518,0.001477125,0.006353541,0.004770098,0.07783535],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04269848,"threshold_uncertainty_score":0.1428406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5627153235853783,"score_gpt":0.60266507143145,"score_spread":0.03994974784607164,"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."}}