{"id":"W6894380778","doi":"10.5683/sp2/5tumoe","title":"Perrenoud Homestead -- Cochrane -- Laser Scanning -- Metadata -- July 20 2017","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; Data set; Set (abstract data type); Data element; Laser scanning","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":[0.001316295,0.00251445,0.00125224,0.002043955,0.001094221,0.001907702,0.002499841,0.001969377,0.01987781],"category_scores_gemma":[0.004899397,0.0005570846,0.001242055,0.002782904,0.000792254,0.001580155,0.002234241,0.001467605,0.05930749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537545,"about_ca_system_score_gemma":0.0018563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05301885,"about_ca_topic_score_gemma":0.1408134,"domain_scores_codex":[0.9983835,0.0002464555,0.0001154239,0.0004342667,0.0005826121,0.0002377508],"domain_scores_gemma":[0.9976463,0.0003616479,0.0001618361,0.0008084252,0.0008115637,0.0002102287],"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":[0.0001396091,0.00004154946,0.001959145,0.0002919551,0.00002583445,0.00003729176,0.00004822314,0.0004384158,0.0002835578,0.0003407303,0.9904774,0.005916243],"study_design_scores_gemma":[0.0001424921,0.00006217266,0.01363457,0.0002445041,0.00003412555,0.0002008574,0.000289337,0.001777009,0.00175993,0.001573708,0.9801939,0.00008742801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00169247,0.0003405741,0.0005185019,0.0002074046,0.0001773653,0.00004097858,0.9894037,0.004083334,0.00353566],"genre_scores_gemma":[0.001885264,0.00007039017,0.0008229975,0.00006726369,0.00001843099,0.0000488974,0.9955038,0.0002009991,0.001381879],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9469811,"threshold_uncertainty_score":0.1054205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03743801955088332,"score_gpt":0.3173196839100202,"score_spread":0.2798816643591369,"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."}}