{"id":"W4312120085","doi":"10.58506/ajstss.v1i2.17","title":"Development and validation of digital medical laboratory educational platform","year":2022,"lang":"en","type":"article","venue":"African Journal of Science Technology and Social Sciences","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Digital pathology; Telepathology; Virtual microscopy; Virtual Laboratory; Multimedia; Computer science; Resource (disambiguation); Medical education; Medical physics; Medicine; Pathology; Telemedicine; Artificial intelligence; Health care","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01025388,0.0005171583,0.000409367,0.002052174,0.0007774227,0.002977513,0.002151896,0.001092941,0.004444242],"category_scores_gemma":[0.02078795,0.0003498487,0.0006763571,0.0007142155,0.0008564215,0.002991934,0.003104495,0.001098611,0.001804709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008892218,"about_ca_system_score_gemma":0.003488977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001182,"about_ca_topic_score_gemma":0.0007637539,"domain_scores_codex":[0.992717,0.002091989,0.0006493558,0.0007921701,0.003255212,0.0004942533],"domain_scores_gemma":[0.9861488,0.003218326,0.0009058402,0.001576162,0.006898933,0.001252052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001450184,0.005645057,0.07811862,0.002838098,0.0001414755,0.002437241,0.009124819,0.008059078,0.1231925,0.02334913,0.01418285,0.7314609],"study_design_scores_gemma":[0.0008804768,0.01453663,0.1419775,0.003870295,0.000550408,0.004125731,0.01699847,0.08777384,0.3080886,0.01133488,0.4092223,0.0006408575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7149483,0.0005535093,0.2235625,0.001634764,0.000527671,0.02006561,0.001361161,0.005386675,0.03195986],"genre_scores_gemma":[0.4559155,0.000594541,0.5179968,0.000779571,0.00007902817,0.006727687,0.002622875,0.0003338661,0.01494996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01025388,"threshold_uncertainty_score":0.05422831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942582558003912,"score_gpt":0.2805344839137773,"score_spread":0.2611086583337381,"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."}}