{"id":"W6960915545","doi":"10.1371/journal.pone.0291997.s010","title":"RECORD checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latent class model; Population; Tuberculosis; Primary care; Emergency department; Health care; Categorization; Primary health care","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":[0.006159778,0.001484868,0.002688278,0.006652737,0.002030667,0.005009429,0.004061831,0.003402126,0.8715547],"category_scores_gemma":[0.0481092,0.001387266,0.001302023,0.005876724,0.000722907,0.005695452,0.004259713,0.003239185,0.6873156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002604047,"about_ca_system_score_gemma":0.007982465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240429,"about_ca_topic_score_gemma":0.01319407,"domain_scores_codex":[0.9953501,0.001350729,0.001350535,0.0006101626,0.001019523,0.0003189612],"domain_scores_gemma":[0.9654952,0.01087447,0.001878668,0.004581576,0.01530753,0.001862575],"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":[0.00007103075,0.00003687034,0.0001290557,0.0009013189,0.000005446472,0.0000283753,0.00005700285,0.00001974276,0.00002362726,0.0007274891,0.9704691,0.02753089],"study_design_scores_gemma":[0.0001899833,0.00002665383,0.0006757792,0.0009608914,0.000007901529,0.00007341406,0.0001995936,0.00007242161,0.00005796198,0.001556501,0.9961516,0.00002720961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0005757476,0.001146741,0.003514913,0.007613921,0.002202313,0.008091388,0.7046792,0.008315729,0.2638601],"genre_scores_gemma":[0.006159966,0.00416826,0.01834341,0.01142206,0.001503004,0.02777634,0.3824262,0.00541137,0.5427894],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8715547,"threshold_uncertainty_score":0.1832117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07199472099263436,"score_gpt":0.2509613297936691,"score_spread":0.1789666088010348,"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."}}