{"id":"W4366989641","doi":"10.1111/2041-210x.14110","title":"The data double standard","year":2023,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vetting; Data science; Citizen science; Computer science; Data collection; Data quality; Benchmarking; Missing data; Data mining; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.2948489,0.001997447,0.004014007,0.007507482,0.005565526,0.01965874,0.008231826,0.009653495,0.02546138],"category_scores_gemma":[0.646506,0.002262277,0.003153946,0.009784518,0.02940045,0.02698613,0.02305088,0.01897278,0.01218013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008554779,"about_ca_system_score_gemma":0.01947152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467749,"about_ca_topic_score_gemma":0.001268463,"domain_scores_codex":[0.4340999,0.3586376,0.05711545,0.05013372,0.09561876,0.004394467],"domain_scores_gemma":[0.204064,0.3342527,0.04656886,0.2941392,0.1158483,0.005127086],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001024825,0.0001279297,0.007556148,0.003582855,0.0005241668,0.0002782851,0.006119578,0.0006668509,0.001060707,0.6651098,0.145263,0.1686858],"study_design_scores_gemma":[0.0003056427,0.0002210808,0.002816848,0.006704639,0.0002907673,0.0004681715,0.002466665,0.001547282,0.003484561,0.3222862,0.659216,0.0001920076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01562154,0.009973004,0.5557564,0.2358885,0.04612223,0.008012693,0.01760978,0.002602033,0.1084138],"genre_scores_gemma":[0.2419378,0.006664711,0.4826398,0.1494852,0.0202584,0.03891713,0.01333671,0.00386666,0.04289356],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7051511,"threshold_uncertainty_score":0.8695769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012719692177708,"score_gpt":0.4046120094716364,"score_spread":0.3033400402538656,"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."}}