{"id":"W6969304365","doi":"10.5683/sp3/uvlm1x","title":"Ogilvie Grain Elevator -- Wrentham -- UAV Photogrammetry -- Metadata -- 2022","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Central European national history","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Photogrammetry; Metadata; Elevator; Set (abstract data type)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00237931,0.0004455849,0.0005549946,0.0004920989,0.001243276,0.0002269061,0.002404878,0.0002817324,0.06525482],"category_scores_gemma":[0.001871034,0.0005039625,0.0003944976,0.0009688339,0.0005409116,0.0003674675,0.0006042471,0.001034494,0.0001000891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435679,"about_ca_system_score_gemma":0.001210011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3034435,"about_ca_topic_score_gemma":0.2025737,"domain_scores_codex":[0.993875,0.001261967,0.0005987174,0.0008807158,0.002536155,0.0008474038],"domain_scores_gemma":[0.9972845,0.0003591373,0.0005187351,0.001228454,0.0001610006,0.0004481638],"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":[0.00002313916,0.0001938573,0.000006556672,0.00003478028,0.0001083487,0.0001315429,0.00022834,7.053018e-7,0.000002053851,0.001842841,0.9953099,0.002117882],"study_design_scores_gemma":[0.0002480903,0.000043908,0.00009423464,0.00001329366,0.0001774798,0.000003460101,0.0004540811,8.279993e-7,0.000001557562,0.0001422923,0.9982726,0.0005481977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000228086,0.002646653,0.000007577822,0.0004312926,0.001893827,0.0006493003,0.9827245,0.0001544689,0.01149003],"genre_scores_gemma":[0.000004006698,0.00444334,0.00004991036,0.00122988,0.000950147,0.0001220037,0.9865374,0.00006164616,0.006601661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1008698,"threshold_uncertainty_score":0.9997412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726258579193972,"score_gpt":0.298767562364076,"score_spread":0.2715049765721362,"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."}}