{"id":"W6949924436","doi":"10.5281/zenodo.3971155","title":"Luciana-cloud/Gene_centric_model_pesticide: Gene_centric_model_pesticide_degradation_V1","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Table (database); Code (set theory); Data modeling; Work (physics); Automation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002586135,0.0003235269,0.0002921747,0.0002250058,0.000828324,0.0003568593,0.001108847,0.0001878615,0.3838043],"category_scores_gemma":[0.0003103566,0.0003520956,0.0001018747,0.0007026265,0.0002259826,0.0001285652,0.0006698665,0.0003697364,0.04196789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003373045,"about_ca_system_score_gemma":0.000004307827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001017773,"about_ca_topic_score_gemma":0.000002493113,"domain_scores_codex":[0.997421,0.0002874704,0.0003270732,0.0008211444,0.0006837412,0.000459546],"domain_scores_gemma":[0.9988123,0.00002100922,0.0001822596,0.0005109486,0.00006513728,0.0004083105],"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":[0.00001438816,0.00007764389,0.000004533074,0.00003191904,0.00005212033,0.00003067544,0.0001675423,0.0001616297,0.0001108782,0.001201123,0.9162735,0.08187409],"study_design_scores_gemma":[0.0004881416,0.00006790104,0.0003008201,0.00002571446,0.00005464286,0.00004056381,0.00002783654,0.002735476,0.0000418831,0.00006949485,0.9957891,0.0003584466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003449059,0.0001333709,0.1327031,0.0007422242,0.0002340432,0.0006430995,0.000375123,0.001101756,0.8640328],"genre_scores_gemma":[0.07537702,0.00201277,0.005490312,0.003937845,0.002289687,8.086113e-7,0.02012939,0.03448692,0.8562753],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3418364,"threshold_uncertainty_score":0.9998931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517025322524277,"score_gpt":0.2193854482770534,"score_spread":0.1942151950518106,"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."}}