{"id":"W4399287984","doi":"10.1093/asj/sjae123","title":"Unit of Analysis Guide, Part 1: More Than a Sum of Parts","year":2024,"lang":"en","type":"letter","venue":"Aesthetic Surgery Journal","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003622773,0.000276105,0.001000808,0.001035776,0.00007964158,0.0001872458,0.0006190751,0.0003084074,0.001163457],"category_scores_gemma":[0.00007625372,0.0002072897,0.000692165,0.001167577,0.0003462512,0.0001170687,0.0001220176,0.0007404223,0.00007291217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005008054,"about_ca_system_score_gemma":0.0004943887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001848147,"about_ca_topic_score_gemma":0.000006419683,"domain_scores_codex":[0.996284,0.0002850427,0.001064532,0.0003482575,0.001329681,0.0006884653],"domain_scores_gemma":[0.9982004,0.0003015621,0.0004880214,0.0005314031,0.0003142434,0.0001644049],"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":[0.00001184718,0.00003114276,0.0005061249,0.0002394795,0.0001607493,0.0008810218,0.000148438,0.0006173865,0.002715513,0.00001669578,0.9923187,0.002352918],"study_design_scores_gemma":[0.0001096246,0.00008775973,0.0001989177,0.001408175,0.0008113689,0.004444537,0.00008081726,0.000184508,0.02329118,0.0004033912,0.9683856,0.0005940953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8149728,0.001772932,0.0002691367,0.1761158,0.00541539,0.000189711,0.0002283836,0.00009606969,0.0009398075],"genre_scores_gemma":[0.9477611,0.00425174,0.001396122,0.01882945,0.005006831,0.00008317252,0.0002838317,0.0003901732,0.02199754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1572864,"threshold_uncertainty_score":0.9997496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013646885069011,"score_gpt":0.2967545716403362,"score_spread":0.2566181027896461,"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."}}