{"id":"W6969129480","doi":"10.5281/zenodo.7019968","title":"marcomusy/vedo: 2022.3.0","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Parsing; Disk formatting; Object (grammar); Troubleshooting; Point (geometry)","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":[0.002120972,0.003679717,0.001777834,0.001698797,0.001190962,0.00491028,0.007803393,0.002685786,0.3477936],"category_scores_gemma":[0.008753357,0.003213523,0.003055161,0.00112933,0.001334944,0.006192811,0.006872671,0.005523235,0.4556977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827783,"about_ca_system_score_gemma":0.002152825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008264373,"about_ca_topic_score_gemma":0.005403806,"domain_scores_codex":[0.9985155,0.0001339796,0.00009179711,0.0003966193,0.0005341432,0.0003280019],"domain_scores_gemma":[0.9974697,0.0003031957,0.000113631,0.0008114781,0.0008959632,0.0004060476],"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":[0.0004110919,0.00005843624,0.0007679172,0.0005112949,0.00004721443,0.0001062578,0.0002114705,0.0006702743,0.003447579,0.005930765,0.949295,0.03854265],"study_design_scores_gemma":[0.0001475809,0.00003331793,0.0008140346,0.0001854694,0.00002362776,0.0001413773,0.00004725607,0.002734851,0.00768215,0.005393752,0.9826741,0.0001225982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0005636017,0.0002353583,0.03743347,0.0003492214,0.0005191106,0.0001141875,0.02039374,0.9071321,0.03325924],"genre_scores_gemma":[0.007312332,0.0003233909,0.02784841,0.0009128111,0.0001556261,0.0004128878,0.04754658,0.8678768,0.04761113],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3477936,"threshold_uncertainty_score":0.9302933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793654722102788,"score_gpt":0.2415899889729318,"score_spread":0.2136534417519039,"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."}}