{"id":"W4368228060","doi":"10.2139/ssrn.4432111","title":"Model Nematodes as a Practical Innovation to Promote High Throughput Screening of Natural Products for Anthelmintics Discovery in South Asia: Current Challenges, Proposed Practical &amp; Conceptual Solutions","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Helminth infection and control","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Drug discovery; Throughput; Current (fluid); Natural (archaeology); Data science; Conceptual model; Computer science; Business; Engineering; Biology; Bioinformatics; Telecommunications","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":[0.00227197,0.001024426,0.0008020927,0.0005037589,0.0005579402,0.002547177,0.001453106,0.001434334,0.0042758],"category_scores_gemma":[0.001526639,0.0004574118,0.0007425404,0.0004196605,0.00149793,0.00340209,0.001929337,0.002419234,0.001724604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196365,"about_ca_system_score_gemma":0.002466796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001231283,"about_ca_topic_score_gemma":0.002784719,"domain_scores_codex":[0.999279,0.0002673135,0.00003730146,0.0001117017,0.0002412476,0.00006356747],"domain_scores_gemma":[0.9993119,0.0001971673,0.00009461473,0.0001249544,0.000146512,0.0001248631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006045129,0.0007507553,0.003367051,0.00285196,0.0001313593,0.0006086284,0.0004244693,0.006930021,0.784972,0.1214683,0.007322452,0.07056855],"study_design_scores_gemma":[0.0004903897,0.007995333,0.004627062,0.0008098162,0.0005568657,0.001653868,0.001589087,0.05786555,0.5564908,0.09928354,0.268398,0.0002397728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2007352,0.02317223,0.6746919,0.04165759,0.002354261,0.002689755,0.00314842,0.002726932,0.04882369],"genre_scores_gemma":[0.4911125,0.03070468,0.4527974,0.003084717,0.0002427924,0.001695811,0.00185062,0.0001664671,0.01834509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0042758,"threshold_uncertainty_score":0.01430398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2399281734212567,"score_gpt":0.4204588510536839,"score_spread":0.1805306776324272,"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."}}