{"id":"W6961117156","doi":"10.1371/journal.pone.0285230.s005","title":"Trial registration dataset.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scars; Laser treatment; Hypertrophic scar; Clinical trial; Limiting; Burn injury; Laser therapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01000085,0.001796347,0.005132901,0.002931619,0.001735466,0.004419935,0.003560113,0.005054636,0.4654722],"category_scores_gemma":[0.05396488,0.0009763244,0.003207198,0.006547337,0.0009543888,0.003276629,0.00176846,0.004833665,0.06938411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003294979,"about_ca_system_score_gemma":0.01343047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004842127,"about_ca_topic_score_gemma":0.01171589,"domain_scores_codex":[0.9906905,0.003925164,0.002137903,0.001331241,0.001333699,0.000581516],"domain_scores_gemma":[0.9691361,0.0126893,0.005326787,0.00420073,0.00716695,0.001480264],"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":[0.01756105,0.0003859324,0.001102563,0.1178889,0.001868339,0.0001941306,0.0001510493,0.0006923284,0.0002037343,0.007693099,0.804767,0.04749194],"study_design_scores_gemma":[0.1403293,0.002064059,0.00823011,0.1160247,0.004472643,0.0005654254,0.0003248876,0.002843448,0.0006046048,0.03078159,0.6934319,0.0003272959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001409859,0.0040705,0.002322841,0.004719646,0.00188816,0.03252992,0.9256447,0.0007751306,0.02663909],"genre_scores_gemma":[0.02851657,0.009633676,0.01865731,0.01230401,0.001815434,0.3507738,0.5214181,0.001169508,0.05571167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4654722,"threshold_uncertainty_score":0.762439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1451780087802802,"score_gpt":0.3674511110689391,"score_spread":0.2222731022886588,"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."}}