{"id":"W6950313331","doi":"10.5683/sp3/5bwjp4","title":"Blubber House -- Herschel Island -- Laser Scanning -- Metadata -- 2018/19","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":"Blubber; Laser scanning; Laser; Metadata; Data set","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":[0.001057401,0.002789932,0.001651131,0.003007716,0.001195243,0.002218916,0.002707359,0.001761055,0.0298353],"category_scores_gemma":[0.00229627,0.0008029317,0.001288895,0.004215286,0.000858298,0.001435068,0.002556772,0.001721693,0.09741493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148589,"about_ca_system_score_gemma":0.002491074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04740744,"about_ca_topic_score_gemma":0.1371767,"domain_scores_codex":[0.998395,0.0001427026,0.00009735274,0.0005195819,0.0005457774,0.0002995006],"domain_scores_gemma":[0.9987614,0.0001222462,0.0001026904,0.0004514601,0.0004134887,0.0001488026],"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":[0.0001341907,0.00004954499,0.003468369,0.0005492921,0.0000574579,0.00008659434,0.000122971,0.0005356796,0.001369803,0.0005769101,0.9816629,0.01138634],"study_design_scores_gemma":[0.0000547313,0.00001897246,0.0119483,0.0001755174,0.00002802387,0.0001397189,0.0002007565,0.0005507583,0.002076532,0.0009485178,0.9837911,0.00006711923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001247073,0.0002152957,0.0006065795,0.00006754639,0.00008542867,0.00002819372,0.9921939,0.002877249,0.002678742],"genre_scores_gemma":[0.0009787126,0.00004598323,0.0008197189,0.00002171893,0.000008553808,0.00004161943,0.9968942,0.0003124987,0.0008767938],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9525926,"threshold_uncertainty_score":0.09980905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291414938157742,"score_gpt":0.2863452202385531,"score_spread":0.2534310708569756,"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."}}