{"id":"W4406573764","doi":"10.1016/s1637-5017(19)30147-4","title":"10.1016/s1637-5017(19)30147-4","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Medicinal plant effects and applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001418284,0.0001211869,0.000216057,0.00006470338,0.00007223822,0.00001308539,0.00009633692,0.00005607612,0.9965871],"category_scores_gemma":[0.00005641011,0.00009665339,0.00005086388,0.0001932099,0.00003278406,0.00002852705,0.00001465174,0.0001302199,0.9937991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002701921,"about_ca_system_score_gemma":0.00004262515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003069898,"about_ca_topic_score_gemma":9.626294e-8,"domain_scores_codex":[0.9991736,0.0000175839,0.0001593828,0.0002155551,0.0002086528,0.0002252025],"domain_scores_gemma":[0.9991704,0.00008058663,0.00002168535,0.0003263486,0.000032884,0.0003681194],"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":[0.0001098275,0.00006790002,4.127492e-7,0.00001883593,0.00001463804,0.00001879608,0.000009476784,0.000005619813,0.0003368474,0.000003249882,0.6225213,0.3768931],"study_design_scores_gemma":[0.0004880448,0.0003409619,0.000148368,0.00006416229,0.00006714131,0.0001003308,0.000001153193,0.0001977655,0.0001223464,0.000007030863,0.9983539,0.0001087735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002155251,0.00007564508,0.000004308255,0.002448617,0.000001208075,0.0004397924,0.00001796205,0.0001280229,0.9947292],"genre_scores_gemma":[0.0006931087,8.681384e-7,0.0001687607,0.0004626373,0.0003117006,0.00004887467,0.0000800479,0.0000193793,0.9982146],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3767844,"threshold_uncertainty_score":0.3941411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007365245970818169,"score_gpt":0.2096817054315711,"score_spread":0.2023164594607529,"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."}}