{"id":"W6963294807","doi":"10.17879/satura-2019-3098","title":"Enough","year":2020,"lang":"en","type":"article","venue":"Universitäts- und Landesbibliothek Münster","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Anglo American (Canada)","funders":"","keywords":"Selection (genetic algorithm); Process (computing); Identification (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001674962,0.001063685,0.0006860626,0.0008099157,0.007718647,0.009205981,0.0009643271,0.004309465,0.09742295],"category_scores_gemma":[0.009248279,0.000331428,0.0005004957,0.0005556674,0.005024193,0.008538952,0.00630466,0.01157954,0.05597086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785973,"about_ca_system_score_gemma":0.002354132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002653124,"about_ca_topic_score_gemma":0.006578528,"domain_scores_codex":[0.9984982,0.0004147949,0.00005385101,0.0002517392,0.0005048691,0.000276593],"domain_scores_gemma":[0.9976767,0.0004008725,0.0001008648,0.0002510243,0.000676807,0.0008937606],"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":[0.00001964579,0.00001085242,0.0000403812,0.00003730083,0.000002857812,0.00005384814,0.0005427775,0.00001007213,0.00008520912,0.03791346,0.9528293,0.008454231],"study_design_scores_gemma":[0.000001880305,0.000004693934,0.00004229051,0.00004678615,8.220322e-7,0.00003643748,0.0004054646,0.000004943816,0.00001977996,0.003742675,0.995691,0.000003320406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0009762938,0.01758058,0.001276341,0.404918,0.2114381,0.00005892829,0.0002583236,0.0002290344,0.3632644],"genre_scores_gemma":[0.009804655,0.004579209,0.0004806902,0.1241914,0.02032666,0.00005223212,0.0001164383,0.0002719049,0.8401769],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.902577,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03482058962928101,"score_gpt":0.2511123233302808,"score_spread":0.2162917337009998,"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."}}