{"id":"W6967112413","doi":"10.48597/k94k-44sy","title":"Particle_number_size_distribution at London - North Kensington","year":2024,"lang":"en","type":"dataset","venue":"EBAS","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Period (music); Work (physics); Power (physics)","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":["insufficient_payload"],"category_scores_codex":[0.0001940821,0.0002259155,0.0004109691,0.0001785609,0.00008825269,0.00009486412,0.0002396563,0.000391319,0.001686381],"category_scores_gemma":[0.000100014,0.0002552348,0.0001260372,0.0003213935,0.00007229037,0.00008837341,0.0001890733,0.0003969826,0.06498609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003885725,"about_ca_system_score_gemma":0.0000116004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001774557,"about_ca_topic_score_gemma":0.0002972898,"domain_scores_codex":[0.9984164,0.000005977128,0.00066874,0.0005888619,0.00002817352,0.0002918559],"domain_scores_gemma":[0.9990394,0.00002359667,0.0003478341,0.0005176939,0.00002187205,0.00004966487],"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":[0.000006552903,0.0000485633,0.001776857,0.00005603968,0.00003979648,0.00001255273,0.000003222029,0.000001886697,7.864618e-7,0.02357495,0.9742472,0.00023166],"study_design_scores_gemma":[0.0001332472,0.00004629595,0.001375703,0.0000201093,0.00001392008,0.000004903847,0.000001807832,0.00008484859,0.00004407177,0.02248633,0.9755021,0.0002866967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04974401,0.001008276,0.00003130931,0.0005065254,0.001164641,0.0001482894,0.945816,0.0001311965,0.001449696],"genre_scores_gemma":[0.03391286,0.0002458333,0.0000228584,0.0002738166,0.0002094095,0.00002834902,0.9643667,0.00002013782,0.0009200526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06329971,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03437544941576405,"score_gpt":0.2205685331311754,"score_spread":0.1861930837154113,"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."}}