{"id":"W6950917985","doi":"10.5683/sp2/zvmcr4","title":"Stampede Elm -- Calgary -- Laser Scanning - Metadata -- 2021","year":2021,"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; Laser; Set (abstract data type); Data set; Scanner","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":[],"consensus_categories":[],"category_scores_codex":[0.001257557,0.003522572,0.002091544,0.004331675,0.0012756,0.002936184,0.004437459,0.002511441,0.03874253],"category_scores_gemma":[0.004658156,0.0009572826,0.001139445,0.008693865,0.0008609528,0.001655681,0.002798825,0.00207385,0.1337239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002734229,"about_ca_system_score_gemma":0.004793868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1171992,"about_ca_topic_score_gemma":0.202728,"domain_scores_codex":[0.9983577,0.0001373759,0.0001090015,0.0004562839,0.0006247034,0.0003149383],"domain_scores_gemma":[0.997221,0.0002844141,0.000213513,0.0008911515,0.001126017,0.0002638878],"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":[0.00006813254,0.00001617318,0.0006294447,0.0003119789,0.00001906428,0.00002935488,0.00002657864,0.000327785,0.0002701374,0.0002640891,0.9940645,0.003972831],"study_design_scores_gemma":[0.00009502131,0.00001849785,0.006011337,0.0002109192,0.00002008757,0.00006922949,0.0001029415,0.0005872409,0.0010533,0.001029105,0.9907443,0.00005799907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001886362,0.00008807673,0.000165865,0.00003458509,0.0000349927,0.00001787005,0.9971803,0.001463619,0.0008260322],"genre_scores_gemma":[0.0002660646,0.00003518246,0.0003535794,0.00001691823,0.000004876518,0.00003184208,0.9988049,0.0001265239,0.0003599418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8828008,"threshold_uncertainty_score":0.233034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718894810408564,"score_gpt":0.2855796406164276,"score_spread":0.258390692512342,"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."}}