{"id":"W4406552506","doi":"10.1016/s1558-0164(07)70258-4","title":"10.1016/s1558-0164(07)70258-4","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Front (military); Engineering; Mechanical engineering","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":[0.001269626,0.002389314,0.001623105,0.002668474,0.002535794,0.004381546,0.002781508,0.006116702,0.989198],"category_scores_gemma":[0.002181497,0.0009714707,0.001348142,0.00240961,0.001828109,0.005128661,0.003707632,0.002618703,0.9927128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227838,"about_ca_system_score_gemma":0.001516834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004136246,"about_ca_topic_score_gemma":0.00380463,"domain_scores_codex":[0.9992728,0.00005601061,0.00006010093,0.0002306984,0.0002290407,0.0001513042],"domain_scores_gemma":[0.9973009,0.0006761928,0.0001788796,0.0002897563,0.000576848,0.0009773348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002897496,0.000195697,0.0008741559,0.0004760801,0.00002975749,0.0002101331,0.00010594,0.0003188885,0.001456917,0.005348546,0.3793787,0.6113154],"study_design_scores_gemma":[0.00004381701,0.00008665523,0.0006683495,0.0002641224,0.0000107704,0.000256845,0.0001019859,0.0001421329,0.0002276799,0.0005713293,0.9976089,0.00001726983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002904478,0.0003375515,0.0004406383,0.000428629,0.0002570708,0.00007814166,0.0004607994,0.0006945876,0.9970121],"genre_scores_gemma":[0.0004316054,0.0001622829,0.0002507156,0.0002072799,0.00006981736,0.00004090495,0.0002677892,0.0001152092,0.9984543],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01080197,"threshold_uncertainty_score":0.01540768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762742345123814,"score_gpt":0.2869096929320606,"score_spread":0.2592822694808225,"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."}}