{"id":"W4293724130","doi":"10.1002/pst.2263","title":"A comparison of statistical methods for animal oncology studies","year":2022,"lang":"en","type":"article","venue":"Pharmaceutical Statistics","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"AstraZeneca (Canada)","funders":"","keywords":"Statistics; Missing data; Data set; Statistical power; Medicine; Volume (thermodynamics); Oncology; Medical physics; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002450337,0.0002533007,0.001178889,0.00008753611,0.0002828644,0.00000818955,0.0003641882,0.00007137471,0.001912986],"category_scores_gemma":[0.01266785,0.000228513,0.00009882104,0.0001992455,0.0006115005,0.00002501198,0.0004811475,0.0005371305,0.000008460016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002434308,"about_ca_system_score_gemma":0.0001515452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001469303,"about_ca_topic_score_gemma":0.00000117522,"domain_scores_codex":[0.9964015,0.001179726,0.001132915,0.0003866581,0.0003483078,0.0005508811],"domain_scores_gemma":[0.9688438,0.03005765,0.0003483579,0.0002439657,0.0002500547,0.0002562256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005723192,0.001284865,0.0002352918,0.0008585325,0.0003070473,0.00001469822,0.0009479269,0.000004393486,0.002383906,0.9406106,0.02971805,0.02306235],"study_design_scores_gemma":[0.001446595,0.002175858,0.00004550087,0.000009791938,0.0005805675,0.00003808137,0.001179207,0.05208888,0.00566939,0.8803281,0.05613451,0.0003035403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003321745,0.0006273504,0.9910457,0.0005639301,0.000376187,0.0009199024,0.002191166,0.00008705394,0.0008669862],"genre_scores_gemma":[0.179829,0.00001561711,0.8192698,0.0002586116,0.00005329371,0.0004044701,0.00005260915,0.00003872409,0.00007788544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1765072,"threshold_uncertainty_score":0.9989994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4606261912846036,"score_gpt":0.6514265736967599,"score_spread":0.1908003824121564,"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."}}