{"id":"W6885855574","doi":"10.1371/journal.pone.0285230.s001","title":"SPIRIT checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scars; Laser treatment; Hypertrophic scar; Burn injury; Clinical trial; Laser therapy; Limiting","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":[0.007822078,0.001085734,0.00173764,0.002146435,0.001290617,0.003264902,0.003107577,0.001835863,0.735113],"category_scores_gemma":[0.0398977,0.000843832,0.00132277,0.001722308,0.0005597605,0.002924191,0.003676234,0.002469404,0.3812201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326013,"about_ca_system_score_gemma":0.007097578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002447488,"about_ca_topic_score_gemma":0.005308833,"domain_scores_codex":[0.9965451,0.001763609,0.0005821824,0.0002924704,0.0005343742,0.0002822485],"domain_scores_gemma":[0.9815323,0.007528163,0.001052373,0.001971578,0.005786546,0.002129107],"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":[0.0005362194,0.0002142824,0.0006883126,0.002232512,0.0000182019,0.00004478763,0.0003417172,0.00007282844,0.00004357049,0.002237615,0.8725215,0.1210484],"study_design_scores_gemma":[0.0009600196,0.0002404189,0.003109742,0.001839324,0.00004075535,0.0001366483,0.0006972858,0.0001947742,0.0001332097,0.009491907,0.9831005,0.00005532825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006812614,0.002497108,0.01715519,0.01252843,0.003197071,0.03210963,0.4141827,0.01719503,0.4943222],"genre_scores_gemma":[0.0396258,0.004942919,0.07381461,0.01628772,0.001115853,0.1549228,0.173699,0.009298473,0.5262927],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.735113,"threshold_uncertainty_score":0.3778291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05583351423148555,"score_gpt":0.3448142272765856,"score_spread":0.2889807130451001,"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."}}