{"id":"W1986622224","doi":"10.1037/0003-066x.59.1.51","title":"On (Not) Trimming One's Toenails With a Bazooka.","year":2004,"lang":"en","type":"letter","venue":"American Psychologist","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Trimming; Psychology; Engineering","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":[0.001235257,0.0006218413,0.0006270517,0.0005429941,0.002241691,0.001299793,0.001281046,0.01236708,0.01848529],"category_scores_gemma":[0.01317985,0.0002695048,0.0005062198,0.0003459294,0.002126891,0.002590835,0.0009666285,0.01139375,0.01929376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008650681,"about_ca_system_score_gemma":0.001050747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004175144,"about_ca_topic_score_gemma":0.01458899,"domain_scores_codex":[0.9992622,0.0001563592,0.00007308707,0.0001083657,0.0002670417,0.0001329599],"domain_scores_gemma":[0.9982709,0.0008236723,0.0001138323,0.0001953595,0.0003140379,0.0002820975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001612935,0.0000443764,0.0008883427,0.00007872281,0.0000222321,0.002446008,0.0001263147,0.00006367062,0.0006264624,0.006119869,0.9222732,0.06714946],"study_design_scores_gemma":[0.0001108304,0.0001108614,0.001759903,0.0002769398,0.00003760546,0.01160298,0.0005129965,0.0003252696,0.001369705,0.02285063,0.9609746,0.00006764344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004306579,0.01274634,0.007580183,0.8286241,0.0749191,0.0000769074,0.000265058,0.000804362,0.07067737],"genre_scores_gemma":[0.03690435,0.009574336,0.007533075,0.7857248,0.03205645,0.0001189001,0.0002111206,0.0002764442,0.1276006],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01848529,"threshold_uncertainty_score":0.06183952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654352203043375,"score_gpt":0.2891658001688961,"score_spread":0.2626222781384624,"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."}}