{"id":"W6912855886","doi":"10.5281/zenodo.6767959","title":"Radiopurity.org: a Community Material Assay Database","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Snolab; Tellabs (Canada)","funders":"","keywords":"Upload; Resource (disambiguation); Information resource; Track (disk drive); National database","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":[],"consensus_categories":[],"category_scores_codex":[0.006014575,0.00309985,0.003031403,0.01660449,0.001560724,0.006680113,0.007473978,0.002829825,0.09781846],"category_scores_gemma":[0.01178776,0.001853431,0.001243674,0.01133319,0.0005656928,0.004548533,0.003885372,0.002604544,0.1517746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354833,"about_ca_system_score_gemma":0.003220512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003075532,"about_ca_topic_score_gemma":0.003473261,"domain_scores_codex":[0.9963399,0.0003663314,0.0006261374,0.0004515476,0.001966829,0.0002492093],"domain_scores_gemma":[0.9890642,0.001932955,0.001158792,0.002823322,0.003867419,0.001153339],"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":[0.0008662813,0.0005035184,0.003405361,0.003627766,0.000161308,0.0003663364,0.0001964061,0.001425068,0.02092415,0.009603699,0.7951815,0.1637387],"study_design_scores_gemma":[0.00008278841,0.0000495304,0.001461035,0.0001687235,0.00005123691,0.0002577217,0.00003749702,0.001241892,0.01017669,0.002624178,0.9837549,0.00009385093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003725251,0.003940066,0.08905872,0.0009039041,0.0004799777,0.00134638,0.6550743,0.1768128,0.06865858],"genre_scores_gemma":[0.007945759,0.002410211,0.06233342,0.001002663,0.0001680568,0.001097121,0.8865772,0.01623463,0.0222309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09781846,"threshold_uncertainty_score":0.3272353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03732211129031229,"score_gpt":0.2481172816983086,"score_spread":0.2107951704079963,"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."}}