{"id":"W6964040986","doi":"10.25545/mmnbnm/u2punq","title":"080203-acc.tab","year":2025,"lang":"nl","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"category_scores_codex":[0.001171755,0.003440629,0.002696156,0.004950581,0.001400533,0.004937784,0.003663521,0.003788424,0.428464],"category_scores_gemma":[0.007561931,0.001380413,0.001731971,0.007550635,0.0007671172,0.002735186,0.002542012,0.002272885,0.5122142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002136985,"about_ca_system_score_gemma":0.002358736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02331905,"about_ca_topic_score_gemma":0.03115495,"domain_scores_codex":[0.9987277,0.0002471214,0.0001403784,0.0004270711,0.0002409578,0.0002167474],"domain_scores_gemma":[0.9970189,0.001088952,0.0002068082,0.0006692161,0.0006865083,0.0003295703],"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":[0.00004521997,0.00001104618,0.00009338037,0.000504816,0.00001280137,0.000007270227,0.0000104417,0.00007343538,0.00007413807,0.0001995804,0.9979663,0.001001553],"study_design_scores_gemma":[0.0003614144,0.00002279753,0.0009839747,0.0002563974,0.00002527385,0.00003829625,0.00004107432,0.0002371341,0.0002922501,0.0009209355,0.9967921,0.00002824287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004288489,0.00006909706,0.00004185181,0.00005474719,0.00002983072,0.000009570126,0.9980351,0.0005644773,0.001152387],"genre_scores_gemma":[0.000220409,0.0000557168,0.0001501308,0.00008215452,0.0000116941,0.00006683122,0.9975885,0.0003101813,0.00151439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5715361,"threshold_uncertainty_score":0.8152268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537800065453675,"score_gpt":0.2791467685185076,"score_spread":0.2637687678639708,"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."}}