{"id":"W6969588137","doi":"10.5683/sp3/bwjmlz","title":"Bonehouse -- Herschel Island -- Laser Scanning -- 20818/19","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":"Laser scanning; Rest (music); Scanner; Laser","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":[0.0008974886,0.002984906,0.00152399,0.002901396,0.001074183,0.002042503,0.003315601,0.001946114,0.03895693],"category_scores_gemma":[0.00234859,0.0007181273,0.001182696,0.004109282,0.0006882761,0.001115347,0.002335039,0.001525145,0.1029911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299371,"about_ca_system_score_gemma":0.002176969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06831809,"about_ca_topic_score_gemma":0.1821347,"domain_scores_codex":[0.9986965,0.0001260644,0.00007229183,0.0004345474,0.0004278155,0.0002428991],"domain_scores_gemma":[0.9988457,0.0001584865,0.0001018594,0.0003681722,0.0003791998,0.0001466242],"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":[0.00009387191,0.00005059829,0.002237578,0.0004531486,0.00004592625,0.00005434091,0.00006612314,0.0004491124,0.0005959391,0.0003083053,0.9883018,0.007343293],"study_design_scores_gemma":[0.00008093041,0.00002676142,0.01216054,0.0002028944,0.00003086251,0.0001223288,0.0001905433,0.0009114888,0.001321023,0.0006904932,0.9842063,0.00005586039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007520675,0.0001129247,0.0002408312,0.00004845538,0.00004982108,0.00001976233,0.9956482,0.001366509,0.001761412],"genre_scores_gemma":[0.0005525927,0.00002528682,0.000433504,0.00001537223,0.000005323527,0.00003077061,0.9981545,0.0001302966,0.0006524101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9316819,"threshold_uncertainty_score":0.1358409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338564676487339,"score_gpt":0.2801038171867146,"score_spread":0.2567181704218412,"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."}}