{"id":"W6931569918","doi":"10.5281/zenodo.8083005","title":"cheshmi/sc23-ad-sparse-fusion: v1.0.1","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Property (philosophy); Product (mathematics); Set (abstract data type); Sensor fusion","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006778098,0.0002724329,0.0003444984,0.0003132253,0.00100502,0.0003869428,0.001054513,0.000225827,0.0849712],"category_scores_gemma":[0.00275005,0.0002718242,0.00009311708,0.0006900901,0.0001964932,0.00004658145,0.001040048,0.0004258973,0.04569142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089206,"about_ca_system_score_gemma":0.000004727241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002226421,"about_ca_topic_score_gemma":0.000002530719,"domain_scores_codex":[0.9978139,0.0003201609,0.0003457156,0.0006026536,0.0004829995,0.0004345703],"domain_scores_gemma":[0.9981907,0.0002235669,0.0002266299,0.0008889823,0.0002347461,0.0002353693],"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":[0.000006315592,0.00008493115,8.013712e-8,0.0001206502,0.00004874255,0.00001138496,0.0001235118,2.045861e-7,0.0001380059,0.08170121,0.8286377,0.08912733],"study_design_scores_gemma":[0.0002482061,0.00006250553,0.00001983136,0.000145366,0.00004783756,0.00002692119,0.00009371457,0.00007034353,0.00003186694,0.01931797,0.9796528,0.0002826206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001062444,0.00009660474,0.04658176,0.0006953846,0.0001945952,0.0008155508,0.001301286,0.00519358,0.9451106],"genre_scores_gemma":[0.0003201161,0.0007656987,0.0596317,0.0001906446,0.0009519005,7.762133e-7,0.001834366,0.04712993,0.8891749],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1510152,"threshold_uncertainty_score":0.9999734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.143250470265544,"score_gpt":0.3549702304002009,"score_spread":0.2117197601346568,"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."}}