{"id":"W6960444464","doi":"10.1371/journal.pgph.0001805.s001","title":"PRISMA-SCr and MOOSE checklists.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Odds; Observational study; Odds ratio; First nation; Psychological intervention","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05085674,0.003757632,0.01030839,0.01657901,0.001878153,0.005856223,0.008002828,0.003016733,0.20664],"category_scores_gemma":[0.1399257,0.00425112,0.01438146,0.01927998,0.002952557,0.004026894,0.006339964,0.005970921,0.01649637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00604384,"about_ca_system_score_gemma":0.03052475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01016489,"about_ca_topic_score_gemma":0.01243609,"domain_scores_codex":[0.9665904,0.01320676,0.01456211,0.002144445,0.002736221,0.0007600754],"domain_scores_gemma":[0.8635132,0.09598272,0.01473279,0.007808448,0.01647117,0.001491643],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001342127,0.0001618958,0.0008963011,0.712494,0.003307412,0.0002092092,0.0011338,0.001389801,0.0004510514,0.007326204,0.2435354,0.02775271],"study_design_scores_gemma":[0.01109834,0.0004730534,0.01081265,0.2991214,0.007225444,0.0006437543,0.002584658,0.004320445,0.001633643,0.04403429,0.617212,0.0008403541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002608883,0.009706475,0.02423728,0.008493602,0.003496724,0.2360142,0.6961175,0.01321376,0.006111566],"genre_scores_gemma":[0.006863996,0.004768244,0.09398134,0.001519134,0.0001609688,0.8400719,0.04617591,0.001601106,0.004857469],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9491432,"threshold_uncertainty_score":0.6912796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04256978752466779,"score_gpt":0.2302614454607862,"score_spread":0.1876916579361184,"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."}}