{"id":"W4386548680","doi":"10.1051/bioconf/20236600001","title":"Preface","year":2023,"lang":"en","type":"article","venue":"BIO Web of Conferences","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Universidad Nacional Agraria La Molina; National Academy of Sciences of Belarus","keywords":"Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007911797,0.00007155098,0.0001044382,0.0000104534,0.00006363681,0.00002220247,0.0001829524,0.00004490739,0.0006516622],"category_scores_gemma":[0.00001692043,0.00001994253,0.00004101661,0.0003995129,0.00005436521,0.00005313633,0.00004651849,0.00002796118,0.0001508456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002247493,"about_ca_system_score_gemma":0.00002950344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001051619,"about_ca_topic_score_gemma":0.0002614552,"domain_scores_codex":[0.9994752,0.0000172333,0.0001227457,0.0001000968,0.0001353316,0.0001493231],"domain_scores_gemma":[0.9997568,0.00008617937,0.00005221779,0.00001879037,0.00004939201,0.00003667593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001482667,0.00003275286,0.5825723,0.00001456228,0.00002848266,0.000001683073,0.0002631444,0.000001397259,0.2463632,0.01889134,0.04778431,0.1040319],"study_design_scores_gemma":[0.00002400489,0.00004249027,0.7640584,0.00001031808,0.000002184904,3.423436e-7,0.0003502528,0.00001174795,0.01012408,0.0003370238,0.2249673,0.00007190698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663947,0.00004742504,7.503435e-8,0.001741242,0.00009934945,0.00006279579,0.0000128784,0.0001064103,0.03153509],"genre_scores_gemma":[0.9957961,0.0001857521,0.000006444375,0.00003779777,0.00008221459,0.000005309397,0.00005399948,1.619266e-7,0.003832167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2362391,"threshold_uncertainty_score":0.7135245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04249335593432266,"score_gpt":0.2326443824839994,"score_spread":0.1901510265496767,"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."}}