{"id":"W2527904535","doi":"10.1016/j.tree.2016.09.006","title":"Scientific Misconduct: The Elephant in the Lab. A Response to Parker et al.","year":2016,"lang":"en","type":"letter","venue":"Trends in Ecology & Evolution","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; University of Windsor","funders":"","keywords":"Transparency (behavior); Scopus; Misconduct; Scientific misconduct; Web of science; Political science; Rigour; Library science; Law; Computer science; MEDLINE; Medicine; Epistemology; Philosophy; Alternative medicine","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01379851,0.0008826241,0.001960239,0.001120612,0.009854773,0.006788218,0.003639234,0.08836508,0.008278289],"category_scores_gemma":[0.08226617,0.001128288,0.001943901,0.001194293,0.008067316,0.008592623,0.005269716,0.07963596,0.008680428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005407249,"about_ca_system_score_gemma":0.01129785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004666939,"about_ca_topic_score_gemma":0.009361442,"domain_scores_codex":[0.9890029,0.003074489,0.001401578,0.001356791,0.003932706,0.001231458],"domain_scores_gemma":[0.9608692,0.01726353,0.003486448,0.00173211,0.007311168,0.009337662],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002872834,0.00002733767,0.0004739818,0.00002604989,0.00001338039,0.0008870477,0.0002219373,0.00002267579,0.0001007402,0.001042341,0.9916627,0.005493219],"study_design_scores_gemma":[0.0001128732,0.00009803998,0.001212825,0.0003739668,0.0000347018,0.002541182,0.001206653,0.0002911687,0.0004233173,0.01003242,0.98357,0.000102852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001798989,0.0005839941,0.00005501895,0.9887323,0.009465564,0.000006415088,0.00002545515,0.00002803369,0.0009233002],"genre_scores_gemma":[0.001276622,0.0003691535,0.0001176485,0.984869,0.010427,0.00002319668,0.00001491935,0.00001646121,0.002886001],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9862015,"threshold_uncertainty_score":0.07297444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03652023699549029,"score_gpt":0.3446946395113756,"score_spread":0.3081744025158853,"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."}}