{"id":"W6969935383","doi":"10.5683/sp3/dcol7i","title":"Ogilvie Grain Elevator -- Wrentham -- Laser Scanning -- Metadata -- 2022","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Laser scanning; Scanner; Laser; Data set; 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":[0.0008308174,0.002477214,0.001371915,0.003104634,0.0008587754,0.001993668,0.002432937,0.001596283,0.02559442],"category_scores_gemma":[0.002369645,0.0007793899,0.001007764,0.004879324,0.0006921699,0.001420274,0.002331863,0.00142519,0.07549595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163471,"about_ca_system_score_gemma":0.001931387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05035802,"about_ca_topic_score_gemma":0.1316872,"domain_scores_codex":[0.9987734,0.0001024452,0.00008810915,0.0003759598,0.0004425831,0.0002175226],"domain_scores_gemma":[0.9986421,0.000128978,0.000151214,0.0004758274,0.0004446465,0.0001572002],"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":[0.0001268912,0.0000406294,0.003280587,0.0005207069,0.00004166297,0.00007669909,0.000117148,0.000666535,0.0009137122,0.0004756525,0.9852578,0.008482026],"study_design_scores_gemma":[0.00006227396,0.00002471789,0.01085261,0.0001405844,0.00002017343,0.00009490158,0.0002334685,0.0005984047,0.001357407,0.0006269054,0.985941,0.00004757805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007829979,0.00006451477,0.0002891999,0.00003727385,0.00003822818,0.00001895387,0.9958435,0.001641623,0.001283838],"genre_scores_gemma":[0.000634585,0.00001885916,0.0004225101,0.00001061667,0.000003665014,0.00002710223,0.9982387,0.0001565749,0.0004873124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05035802,"threshold_uncertainty_score":0.1001298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769344975019342,"score_gpt":0.2863647710491596,"score_spread":0.2586713212989662,"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."}}