{"id":"W3159067647","doi":"10.1098/rsif.2021.0065","title":"Challenges in forming inferences from limited data: a case study of malaria parasite maturation","year":2021,"lang":"en","type":"article","venue":"Journal of The Royal Society Interface","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parasite hosting; Malaria; Biology; Plasmodium falciparum; Evolutionary biology; Computational biology; Data science; Computer science; Immunology; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03782142,0.0004253628,0.001061209,0.00104189,0.001975016,0.001613037,0.00214458,0.002463397,0.00205952],"category_scores_gemma":[0.1671479,0.000581047,0.0008315488,0.001977154,0.002128731,0.003341779,0.001960159,0.002865493,0.0003244365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573684,"about_ca_system_score_gemma":0.001745876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02322675,"about_ca_topic_score_gemma":0.03014736,"domain_scores_codex":[0.9829139,0.0142195,0.0005634677,0.001003457,0.0009829934,0.0003167104],"domain_scores_gemma":[0.7691495,0.2114406,0.005669862,0.007543318,0.004986123,0.00121058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001151597,0.0006716769,0.4363267,0.001661203,0.0009531244,0.01597435,0.0208595,0.1979227,0.005879973,0.06436422,0.01483935,0.2393956],"study_design_scores_gemma":[0.0002410082,0.0005622725,0.1413788,0.000763754,0.0003317527,0.006473773,0.01224335,0.5660263,0.008617665,0.214432,0.04865414,0.0002751525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7818072,0.001553609,0.1878553,0.01850598,0.00007885418,0.0003054291,0.001753956,0.0002778612,0.00786177],"genre_scores_gemma":[0.8978454,0.0004303232,0.09943984,0.0006713276,0.00006879162,0.000146288,0.0005278457,0.0001074752,0.0007627573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03782142,"threshold_uncertainty_score":0.2000211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112678265890364,"score_gpt":0.3212548231182508,"score_spread":0.2099869965292143,"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."}}