{"id":"W4237582031","doi":"10.3410/f.725377774.793523086","title":"Faculty Opinions recommendation of New compound sets identified from high throughput phenotypic screening against three kinetoplastid parasites: an open resource.","year":2016,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Helminth infection and control","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Throughput; Resource (disambiguation); High-throughput screening; Phenotype; Biology; Computational biology; Computer science; Business; Genetics; Computer network; Telecommunications; Gene","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":[0.001417629,0.002902062,0.002503619,0.004887154,0.0007727746,0.003055001,0.003638556,0.003721972,0.1154964],"category_scores_gemma":[0.00786647,0.0009467121,0.002889856,0.005319197,0.0004017958,0.001684149,0.002253834,0.00235634,0.08154466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380352,"about_ca_system_score_gemma":0.00477936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334352,"about_ca_topic_score_gemma":0.03499066,"domain_scores_codex":[0.9987633,0.0001555521,0.0001889119,0.0003277018,0.0003942171,0.0001703077],"domain_scores_gemma":[0.9967662,0.00101495,0.0005081316,0.0005079036,0.0007218363,0.0004809345],"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":[0.0003734289,0.00007561727,0.001502583,0.00552318,0.0002251009,0.00007766782,0.00002107423,0.000472612,0.0008796013,0.0004586196,0.9839431,0.006447341],"study_design_scores_gemma":[0.001411681,0.000102825,0.00547264,0.001334343,0.000417795,0.0001648106,0.00004151817,0.001056613,0.00154201,0.001538702,0.986837,0.00008009448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001259868,0.000238863,0.00008570062,0.00007350734,0.00002638596,0.00002896748,0.9983918,0.0004083138,0.0006203791],"genre_scores_gemma":[0.0005064373,0.0003058756,0.0005402518,0.0001372782,0.00001184557,0.0001215422,0.9975683,0.00006867723,0.0007397583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1154964,"threshold_uncertainty_score":0.3863738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09773221393455257,"score_gpt":0.4023258438704588,"score_spread":0.3045936299359062,"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."}}