{"id":"W6926927028","doi":"10.25545/bhmcou/8aw1hl","title":"README.pdf","year":2024,"lang":"de","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Work (physics); Product (mathematics); Identification (biology)","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":[0.001164106,0.003666412,0.001952139,0.004106316,0.001176343,0.005102183,0.00310729,0.003514017,0.4085879],"category_scores_gemma":[0.008354641,0.001310243,0.001695501,0.005926629,0.0008145056,0.003175501,0.003747389,0.002218383,0.5403135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327281,"about_ca_system_score_gemma":0.001838157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025768,"about_ca_topic_score_gemma":0.01801525,"domain_scores_codex":[0.9986749,0.0002542936,0.0001432175,0.0004312808,0.0002670437,0.0002293851],"domain_scores_gemma":[0.9965354,0.0009549196,0.0002172444,0.001114581,0.0008161584,0.0003616771],"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":[0.00004988009,0.00001181519,0.00009152121,0.0004800489,0.00001239852,0.000007957399,0.00001276701,0.00007769468,0.0001034516,0.0001957516,0.9975113,0.001445414],"study_design_scores_gemma":[0.0002588296,0.00003026563,0.0007726267,0.000187933,0.0000157243,0.00003477203,0.00005529684,0.0002385146,0.0005331625,0.0011058,0.9967379,0.00002924223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005813286,0.00005997597,0.00007215067,0.00008115057,0.00005223171,0.00001458054,0.9965448,0.001577649,0.001539364],"genre_scores_gemma":[0.0003077952,0.00005814058,0.0003007382,0.0001014535,0.0000178598,0.00007736748,0.9961268,0.0006685723,0.002341198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5914121,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748802831551375,"score_gpt":0.2740547075873921,"score_spread":0.2565666792718783,"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."}}