{"id":"W2917150516","doi":"10.5281/zenodo.15860","title":"seqware-bag: 1.0-beta.2","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"","keywords":"BETA (programming language); Computer science; Programming language","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":[0.005644483,0.004901141,0.002886078,0.003600218,0.002093944,0.006334961,0.01019689,0.003539934,0.486835],"category_scores_gemma":[0.02794296,0.006762569,0.003832513,0.002969362,0.001153799,0.009500074,0.006307693,0.008597971,0.5966032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00238352,"about_ca_system_score_gemma":0.002991365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005093672,"about_ca_topic_score_gemma":0.003378044,"domain_scores_codex":[0.9952182,0.0006117579,0.000473078,0.001236058,0.001682034,0.0007787489],"domain_scores_gemma":[0.9788182,0.003911987,0.000804738,0.008111252,0.006335746,0.00201802],"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":[0.0004999807,0.0001000795,0.000632752,0.0002721256,0.00006555818,0.00005889097,0.00008225803,0.0003609977,0.001447514,0.001027417,0.9734868,0.02196558],"study_design_scores_gemma":[0.0007356128,0.0001165018,0.003016608,0.0003657577,0.0001078168,0.0002735482,0.00009711021,0.003478451,0.01558914,0.005271579,0.9705893,0.000358651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0008249896,0.0001149255,0.02150091,0.0003951428,0.0007026301,0.0002670553,0.03716086,0.9240134,0.01502003],"genre_scores_gemma":[0.005955276,0.0002053728,0.0171213,0.001318617,0.0002705533,0.0006542344,0.1229185,0.8180401,0.03351612],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.486835,"threshold_uncertainty_score":0.7319676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2839587582883796,"score_gpt":0.3625310626368487,"score_spread":0.07857230434846907,"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."}}