{"id":"W2021559748","doi":"10.1145/1029496.1029527","title":"Beyond power","year":2004,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Appeal; Computer science; Power (physics); World Wide Web; Data science; Political science","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":[0.02459112,0.001720943,0.001349989,0.001878853,0.001761351,0.007838043,0.002906001,0.001857907,0.02864776],"category_scores_gemma":[0.07551449,0.0009095701,0.001109464,0.001421685,0.005337367,0.01269562,0.006126682,0.004662774,0.007815552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503341,"about_ca_system_score_gemma":0.003640678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259617,"about_ca_topic_score_gemma":0.001464451,"domain_scores_codex":[0.9763213,0.01430007,0.0008034055,0.002287182,0.005663893,0.0006242091],"domain_scores_gemma":[0.9259285,0.04911927,0.001976413,0.01428046,0.007243225,0.001452025],"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":[0.0003630691,0.000182869,0.001691774,0.0009542768,0.0001506132,0.0001135323,0.002224864,0.01007031,0.002494025,0.6870958,0.01480177,0.279857],"study_design_scores_gemma":[0.0001758287,0.0003335792,0.0004682351,0.0004091581,0.0001009999,0.0001682162,0.0004315208,0.0178831,0.003321423,0.8155649,0.1610825,0.00006053727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005930292,0.001504857,0.9082918,0.00496293,0.0003240648,0.0005812686,0.0002645508,0.001972008,0.0761682],"genre_scores_gemma":[0.4269393,0.002690166,0.5145429,0.005565832,0.0006681677,0.00352176,0.0006443933,0.003292602,0.04213485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02864776,"threshold_uncertainty_score":0.1300518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758202242152679,"score_gpt":0.3164620915616933,"score_spread":0.2888800691401665,"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."}}