{"id":"W6929572623","doi":"10.48597/9s32-tv4v","title":"Measurement of Particle_number_concentration at London - North Kensington","year":2024,"lang":"en","type":"dataset","venue":"EBAS","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Sample (material); Period (music)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004187428,0.0003168057,0.000376283,0.0001206649,0.0000521677,0.00005019801,0.0002211706,0.0001561229,0.000395558],"category_scores_gemma":[0.0001437119,0.0003107367,0.0001376802,0.0003423832,0.00008476615,0.00007673157,0.0001513227,0.0002880933,0.0444202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008901508,"about_ca_system_score_gemma":0.000196835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004315111,"about_ca_topic_score_gemma":0.01387301,"domain_scores_codex":[0.9971111,0.0001328607,0.0005176836,0.0004883287,0.001401842,0.0003482223],"domain_scores_gemma":[0.9985119,0.00001923195,0.0003073354,0.0007945723,0.000255112,0.0001119032],"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":[0.00008011852,0.0001147961,0.0004922147,0.0003892953,0.0001339389,0.00004053091,0.00003943418,0.00002499983,0.002549115,0.000002276829,0.9959661,0.000167204],"study_design_scores_gemma":[0.000281789,0.00007796057,0.000752972,0.0003752635,0.0004090151,0.000006759482,0.000003376194,0.00005383684,0.009831415,0.000009862053,0.9879234,0.0002743401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01541108,0.001150251,9.03252e-7,0.00004964929,0.0009639703,0.0003706961,0.9818777,0.00009286242,0.00008282751],"genre_scores_gemma":[0.02273636,0.00005890782,0.00001327504,0.00003723255,0.000260679,0.00001826571,0.9767388,0.00007654749,0.00005994134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04402464,"threshold_uncertainty_score":0.9999345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303158159681965,"score_gpt":0.2586072378932355,"score_spread":0.228291421925039,"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."}}