{"id":"W6963992882","doi":"10.25545/gpfjgq/8sspjh","title":"Train_RGB_Fredericton.zip","year":2024,"lang":"en","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); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001474735,0.01076818,0.003372818,0.004241356,0.001816434,0.004335211,0.008490472,0.005341761,0.1649827],"category_scores_gemma":[0.005177706,0.002395944,0.003387859,0.005853825,0.001465341,0.003448276,0.004188554,0.004004013,0.3002426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003073853,"about_ca_system_score_gemma":0.002414363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03732611,"about_ca_topic_score_gemma":0.061278,"domain_scores_codex":[0.9980677,0.0002051169,0.0001029611,0.0007498503,0.000450658,0.0004237252],"domain_scores_gemma":[0.998337,0.0003375153,0.00007132308,0.000702625,0.0003815801,0.0001699628],"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":[0.00007549792,0.00004321095,0.0001263853,0.0003149328,0.00002690688,0.00001378312,0.00001332452,0.0004057892,0.0001839999,0.0002247615,0.9939854,0.004586132],"study_design_scores_gemma":[0.0004478568,0.00009456583,0.001655116,0.000403348,0.00006471298,0.0001650014,0.0001110233,0.005855772,0.004101431,0.003647164,0.9833415,0.0001125722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006355144,0.0004027135,0.0007311124,0.0002011202,0.0002302366,0.0000761866,0.9743124,0.01877336,0.004637349],"genre_scores_gemma":[0.0008173016,0.00009889643,0.001321066,0.00009815545,0.00001889272,0.0001108795,0.9941863,0.001110331,0.002238116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8350173,"threshold_uncertainty_score":0.5519221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245837695150241,"score_gpt":0.2792050390741708,"score_spread":0.2546212695591467,"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."}}