{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006826805,0.002474669,0.001248481,0.002834804,0.0007328417,0.002128623,0.001998825,0.00168286,0.0425607],"category_scores_gemma":[0.00200645,0.0006558198,0.001025721,0.004778943,0.0005719513,0.001582003,0.001992757,0.001343437,0.1036203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115512,"about_ca_system_score_gemma":0.001487591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04396273,"about_ca_topic_score_gemma":0.0846989,"domain_scores_codex":[0.9991993,0.00007928944,0.00006724575,0.0002481113,0.0002479176,0.0001581113],"domain_scores_gemma":[0.9989913,0.0001280102,0.000115278,0.000342502,0.0002808575,0.0001420316],"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":[0.0001046835,0.00002885454,0.00138733,0.000573814,0.00002478031,0.0000402014,0.00006486188,0.0004358026,0.000516927,0.000520249,0.9914954,0.004807004],"study_design_scores_gemma":[0.00007492501,0.00001638125,0.006095914,0.0001407635,0.0000136707,0.00004963849,0.0001506007,0.0003359728,0.0006796038,0.0005696351,0.991843,0.00002978887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002560874,0.00003278704,0.0001001569,0.00002170746,0.00002094378,0.000009344527,0.9976561,0.0009123232,0.0009905767],"genre_scores_gemma":[0.0003811106,0.00001922619,0.0002313519,0.00001298754,0.000002671155,0.00001725143,0.9987952,0.0001358426,0.0004044506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9560373,"threshold_uncertainty_score":0.1423797,"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."}}