{"id":"W6891523318","doi":"10.48350/196429","title":"Machine learning for predicting Plasmodium liver stage development in vitro using microscopy imaging.","year":2024,"lang":"en","type":"article","venue":"Open Access CRIS of the University of Bern","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Convolutional neural network; Malaria; Plasmodium (life cycle); Receiver operating characteristic; Stage (stratigraphy); Artificial neural network; Plasmodium falciparum","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007354533,0.0008985436,0.0004030038,0.001341082,0.0001762895,0.0004549688,0.0004749532,0.0007828887,0.0007551271],"category_scores_gemma":[0.00202896,0.0002698669,0.0004708224,0.0005991197,0.0001731556,0.0004786154,0.0003254116,0.0005773751,0.0005600962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007546523,"about_ca_system_score_gemma":0.0004956847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006407169,"about_ca_topic_score_gemma":0.01106608,"domain_scores_codex":[0.9997686,0.0000452575,0.0000167687,0.00008279301,0.00005012946,0.00003647769],"domain_scores_gemma":[0.9992825,0.0003031541,0.0001679746,0.00005180492,0.0001596951,0.00003481794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000789851,0.0004708236,0.07025942,0.0007338659,0.0003187986,0.0004058804,0.0001238091,0.393456,0.1810035,0.001297428,0.007388406,0.3437523],"study_design_scores_gemma":[0.000004140206,0.00005864037,0.007140477,0.00001683794,0.00001971414,0.00007649917,0.00001991477,0.975889,0.01535412,0.000392903,0.00101624,0.00001157433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5288458,0.005160544,0.4496191,0.0006935135,0.0002186356,0.00024227,0.006047782,0.004944569,0.004227676],"genre_scores_gemma":[0.8529505,0.001248748,0.1384458,0.0001336592,0.00004443134,0.0001307749,0.005108138,0.00008354196,0.001854443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006407169,"threshold_uncertainty_score":0.01273978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347050012285595,"score_gpt":0.3028816363295393,"score_spread":0.2694111362066833,"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."}}