{"id":"W6950394589","doi":"10.5281/zenodo.7408732","title":"sbmlteam/libCombine: Release 0.2.20","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glycemic Index Laboratories","funders":"","keywords":"Zipper; Dependency (UML); Process (computing); State (computer science); Zero (linguistics)","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":[0.002634721,0.004972934,0.001997478,0.003239774,0.002073195,0.008798878,0.006966352,0.002731197,0.466015],"category_scores_gemma":[0.01936705,0.00446532,0.002634352,0.003761706,0.001506311,0.01206639,0.0105229,0.005134435,0.6407701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002576077,"about_ca_system_score_gemma":0.002220785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008660046,"about_ca_topic_score_gemma":0.007041876,"domain_scores_codex":[0.9964838,0.0004173783,0.0002674088,0.0008086765,0.001531661,0.000491087],"domain_scores_gemma":[0.9915597,0.001187658,0.0003473235,0.0037851,0.002578775,0.0005415859],"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":[0.0001522499,0.00001579459,0.0001596831,0.0002375399,0.00001538474,0.00003278387,0.00006933697,0.0001013543,0.0008693582,0.001502478,0.9804339,0.01641016],"study_design_scores_gemma":[0.00005609751,0.00001715601,0.0003084101,0.00008662665,0.00001315632,0.00008377315,0.00002591187,0.0003765378,0.005590296,0.001933834,0.9914449,0.00006339735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0004415103,0.0002352222,0.02288557,0.0004289798,0.0005713539,0.0001146614,0.05509381,0.880862,0.03936692],"genre_scores_gemma":[0.004141962,0.0002217537,0.01332144,0.0006846419,0.0001699485,0.0003212758,0.1051501,0.8179036,0.05808534],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.466015,"threshold_uncertainty_score":0.7616647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477198182151747,"score_gpt":0.238006473464091,"score_spread":0.2132344916425735,"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."}}