{"id":"W6948776760","doi":"10.5281/zenodo.10928819","title":"virtualcell/vcell: Rerelease","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glycemic Index Laboratories","funders":"","keywords":"","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001363349,0.0003056013,0.0002390816,0.001089675,0.0007241499,0.01687999,0.007904333,0.0001543633,0.02101954],"category_scores_gemma":[0.0009258214,0.0003128958,0.00009330532,0.001231879,0.0001727257,0.004714521,0.01025265,0.0007277632,0.1349631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527282,"about_ca_system_score_gemma":0.000008919633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007968475,"about_ca_topic_score_gemma":0.000001080117,"domain_scores_codex":[0.9962144,0.0006053247,0.0002940553,0.001268693,0.001000682,0.0006168834],"domain_scores_gemma":[0.9968488,0.00003712554,0.0002101541,0.002373718,0.000212727,0.0003174313],"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":[0.000006425594,0.00007107676,3.662154e-8,0.0002345667,0.00009172726,0.0001447048,0.00008904198,0.000001534932,0.00007742573,0.1329417,0.8347734,0.03156833],"study_design_scores_gemma":[0.000194327,0.0001424521,0.000002642605,0.0001493626,0.00002239889,0.00005256415,0.00004658052,0.0003622271,0.00002957657,0.0004506906,0.9982253,0.0003219245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001452217,0.0007636881,0.09496617,0.001680858,0.0003388005,0.0005883437,0.0002634054,0.003947014,0.8974503],"genre_scores_gemma":[0.0003037591,0.001966325,0.00241396,0.0002303783,0.0004100658,1.073129e-7,0.001184672,0.009937845,0.9835529],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1634519,"threshold_uncertainty_score":0.9999323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06587304393061101,"score_gpt":0.2950150646739269,"score_spread":0.2291420207433159,"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."}}