{"id":"W4236712278","doi":"10.14322/publons.r745967","title":"10.14322/publons.r745967","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ingredient; Drug; Active ingredient; Anti malarial; Degradation (telecommunications); Pharmacology; Biochemical engineering; Traditional medicine; Chemistry; Medicine; Food science; Computer science; Engineering; Malaria; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001957744,0.003042651,0.001758654,0.003985604,0.0007098233,0.00307372,0.003988893,0.001733307,0.6283751],"category_scores_gemma":[0.005578496,0.001311637,0.001154078,0.005838472,0.0007967599,0.001474638,0.003051088,0.001168514,0.8273252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302469,"about_ca_system_score_gemma":0.001667761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006659206,"about_ca_topic_score_gemma":0.01015167,"domain_scores_codex":[0.9985777,0.00019997,0.0001475475,0.0005034275,0.0003666643,0.000204787],"domain_scores_gemma":[0.9975857,0.0004442256,0.000225972,0.0009335932,0.0004801623,0.0003303901],"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":[0.0001161046,0.0000348001,0.0005263767,0.0004171753,0.00002439929,0.00002195064,0.00001372172,0.0004075725,0.0003608016,0.0005683107,0.984548,0.01296079],"study_design_scores_gemma":[0.0002359655,0.00005914086,0.001353656,0.0001652823,0.00002548232,0.00008976222,0.00002690944,0.001014558,0.001500229,0.001353715,0.9941385,0.00003683237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006380462,0.0003588863,0.001428163,0.0002752517,0.0001495994,0.00007915418,0.9694124,0.01293168,0.01472681],"genre_scores_gemma":[0.001565678,0.0002383821,0.001743148,0.0002243443,0.00003731271,0.0001472797,0.9706244,0.002301814,0.02311767],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3716249,"threshold_uncertainty_score":0.5300778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047058295443469,"score_gpt":0.2379045954887437,"score_spread":0.227434012534309,"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."}}