{"id":"W6969415951","doi":"10.5281/zenodo.7927124","title":"THGLab/X-EISDv2: X-EISDv2 v0.1.1","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Work (physics); Product (mathematics); Process (computing); Identification (biology)","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":[0.003175459,0.002861682,0.00157367,0.001810437,0.001282647,0.005765987,0.004310863,0.002565955,0.4380295],"category_scores_gemma":[0.004152,0.00132856,0.0009099203,0.001837354,0.0009828157,0.003655332,0.003357725,0.002530004,0.5278194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002199788,"about_ca_system_score_gemma":0.001899711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105246,"about_ca_topic_score_gemma":0.007841396,"domain_scores_codex":[0.998081,0.0002922417,0.00006628373,0.0002760171,0.001007882,0.0002766702],"domain_scores_gemma":[0.9976717,0.000302001,0.0001276258,0.0007237772,0.0007957928,0.0003791918],"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":[0.0005029313,0.00004923918,0.0002341463,0.000272368,0.00002687661,0.00004428664,0.00006881041,0.00096898,0.002301056,0.01153007,0.9615756,0.02242558],"study_design_scores_gemma":[0.0001341,0.0000567434,0.0003904589,0.00007015914,0.00001251576,0.0000748426,0.00002764419,0.002251999,0.004954974,0.005906117,0.9860739,0.00004653087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.003167371,0.001040986,0.04602247,0.001369523,0.0008640914,0.0004039792,0.1442673,0.1715827,0.6312816],"genre_scores_gemma":[0.02335286,0.0006156728,0.02245377,0.0008152529,0.0003425582,0.000609356,0.2276466,0.1690602,0.5551037],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.4380295,"threshold_uncertainty_score":0.8015828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0418755385404428,"score_gpt":0.2581728659064346,"score_spread":0.2162973273659918,"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."}}