{"id":"W6961068951","doi":"10.1371/journal.pone.0283879.s001","title":"S1 Checklist -","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Years of potential life lost; Checklist; Mortality rate; Population; Disease; Life expectancy; Quality of life (healthcare)","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":["insufficient_payload"],"category_scores_codex":[0.0357064,0.003499884,0.007381824,0.01626728,0.003431438,0.008053626,0.006813592,0.005004506,0.6647049],"category_scores_gemma":[0.2024926,0.004244523,0.008172694,0.01405035,0.002033163,0.007416902,0.006816729,0.00577484,0.1001829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008680137,"about_ca_system_score_gemma":0.03371081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217392,"about_ca_topic_score_gemma":0.02355743,"domain_scores_codex":[0.9813408,0.006583033,0.007683617,0.001603564,0.00204342,0.000745636],"domain_scores_gemma":[0.7975306,0.1272882,0.01314684,0.008602374,0.05076158,0.002670435],"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":[0.00164182,0.0001412455,0.0008318745,0.1925707,0.0003890764,0.000176057,0.001234469,0.0006347946,0.0001471253,0.004803417,0.7445908,0.05283863],"study_design_scores_gemma":[0.006407777,0.0003214631,0.004074785,0.1613701,0.0008603378,0.0003311071,0.003252093,0.0007664963,0.000361358,0.01746669,0.8045176,0.0002701995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00111996,0.003476308,0.005956503,0.008361395,0.001913863,0.1343112,0.8228893,0.00221542,0.01975612],"genre_scores_gemma":[0.004593703,0.004237767,0.04997636,0.008459961,0.0005453789,0.7415941,0.1575484,0.001196714,0.03184766],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3352951,"threshold_uncertainty_score":0.4782577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078372499077675,"score_gpt":0.2507171444702162,"score_spread":0.2199334194794395,"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."}}