{"id":"W4406520772","doi":"10.1016/s0765-2046(97)80151-7","title":"10.1016/s0765-2046(97)80151-7","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Milestone; Library science; Geography; Archaeology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001266462,0.002923432,0.002131634,0.00310859,0.00261869,0.00467153,0.003350732,0.006100305,0.9880109],"category_scores_gemma":[0.001952277,0.0009574189,0.001633964,0.002754761,0.002064753,0.005519101,0.003510404,0.003071806,0.9930052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192834,"about_ca_system_score_gemma":0.001305793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003470781,"about_ca_topic_score_gemma":0.00301198,"domain_scores_codex":[0.9992793,0.00004914673,0.0000668256,0.0002316234,0.0002136356,0.0001595058],"domain_scores_gemma":[0.997352,0.0006911907,0.0001918371,0.0002861973,0.000608421,0.0008703152],"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":[0.0003684676,0.000219126,0.000752358,0.0006624928,0.00003822579,0.0002206809,0.0001126763,0.0003948886,0.001948707,0.005609725,0.3581182,0.6315544],"study_design_scores_gemma":[0.00004728274,0.000112034,0.0006041652,0.0003248557,0.00001320805,0.0003024628,0.0001078698,0.0001618234,0.0003223387,0.0005907771,0.9973921,0.00002115884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003819278,0.0004868844,0.0005042863,0.0004173771,0.0003655903,0.00009518946,0.0005036046,0.0007424277,0.9965028],"genre_scores_gemma":[0.0004740997,0.0002239317,0.0002793127,0.0002172804,0.00007400239,0.00005586654,0.0003031321,0.0001345273,0.9982377],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01198906,"threshold_uncertainty_score":0.01710093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005392594838413028,"score_gpt":0.1842209041687706,"score_spread":0.1788283093303576,"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."}}