{"id":"W1975258123","doi":"10.1111/nph.12410","title":"Explicit consideration of critical effect sizes and costs of errors can improve decision‐making in plant science","year":2013,"lang":"en","type":"article","venue":"New Phytologist","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Ignorance; Warrant; Statistical hypothesis testing; Null hypothesis; Criticism; Psychology; Management science; Econometrics; Epistemology; Economics; Mathematics; Statistics; 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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5019747,0.00481746,0.009398493,0.01022361,0.004364773,0.01372958,0.007891723,0.01372894,0.01556798],"category_scores_gemma":[0.8403639,0.00262517,0.0099681,0.0073003,0.01460028,0.02657454,0.0131432,0.02118099,0.002486927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009533647,"about_ca_system_score_gemma":0.01752655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005301659,"about_ca_topic_score_gemma":0.006088048,"domain_scores_codex":[0.4376284,0.4664244,0.03550353,0.02098867,0.03722374,0.002231244],"domain_scores_gemma":[0.04016859,0.915543,0.01336885,0.0193877,0.01049033,0.001041575],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00393704,0.0006964877,0.01997762,0.01566652,0.01013883,0.001107114,0.005154655,0.05350368,0.002561633,0.2952627,0.03979377,0.5521999],"study_design_scores_gemma":[0.0008241402,0.001019661,0.007541968,0.009635443,0.00306058,0.0004892824,0.001110779,0.04147175,0.003413654,0.8825212,0.04826692,0.0006446784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01295062,0.01716377,0.8876376,0.04358222,0.007351678,0.005047059,0.001770669,0.001568286,0.02292806],"genre_scores_gemma":[0.2123446,0.004367208,0.7569017,0.01189869,0.003240346,0.008004502,0.0004704826,0.0008477078,0.00192477],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4980253,"threshold_uncertainty_score":0.6141539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152994917671248,"score_gpt":0.2841737896572376,"score_spread":0.2726438404805251,"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."}}