{"id":"W6893170566","doi":"10.5281/zenodo.14965756","title":"igfuw/UWLCM: ICMW2020 Pi chamber","year":2025,"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":"Semtech (Canada)","funders":"","keywords":"Code (set theory); Data modeling; Numerical modeling","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":[0.00120175,0.002235786,0.0008764993,0.000981638,0.0011537,0.002529712,0.003908956,0.001156968,0.2056104],"category_scores_gemma":[0.001880322,0.0008904121,0.000793911,0.001484621,0.0004480217,0.004093008,0.002418241,0.002380478,0.1419929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002756437,"about_ca_system_score_gemma":0.00252659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02628469,"about_ca_topic_score_gemma":0.01728293,"domain_scores_codex":[0.9991725,0.0000983568,0.00001841562,0.0001312099,0.0004174147,0.0001620892],"domain_scores_gemma":[0.9991555,0.00005775766,0.00003576432,0.0002277117,0.0003631684,0.000160104],"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":[0.000176471,0.0000325405,0.0003245532,0.0001646761,0.00001770157,0.0000309833,0.00004042014,0.009118254,0.001336289,0.01489363,0.9531853,0.02067925],"study_design_scores_gemma":[0.0001195172,0.00004230846,0.0003909829,0.00007309919,0.00001549141,0.00004310464,0.00003183527,0.06574588,0.006637104,0.00529306,0.9215639,0.00004368513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005380567,0.0009902111,0.1119027,0.001920827,0.001549628,0.0005837952,0.1428606,0.2091725,0.5256393],"genre_scores_gemma":[0.1137941,0.001433914,0.1015804,0.001436202,0.0004192172,0.001592664,0.2815006,0.1658978,0.332345],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7943895,"threshold_uncertainty_score":0.6878355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873152208383311,"score_gpt":0.2533704769175115,"score_spread":0.2246389548336784,"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."}}