{"id":"W6969631854","doi":"10.5683/sp3/3yfnk7","title":"Blubber House -- Herschel Island -- Laser Scanning -- 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; 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":[0.0009797651,0.002961706,0.001780927,0.002738848,0.00111168,0.001984156,0.002865503,0.001860964,0.02731191],"category_scores_gemma":[0.001972925,0.0007395166,0.001322945,0.004022216,0.0007861512,0.00110266,0.002097666,0.001583724,0.08888837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299556,"about_ca_system_score_gemma":0.002259199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04875158,"about_ca_topic_score_gemma":0.1468032,"domain_scores_codex":[0.9985687,0.0001303104,0.000074309,0.0004676139,0.0004716519,0.0002874617],"domain_scores_gemma":[0.9990094,0.0001039065,0.00007913401,0.0003396731,0.0003419385,0.0001260469],"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":[0.0001489993,0.00005880022,0.003369041,0.0004865744,0.00006876521,0.00008638276,0.00009846527,0.0005835874,0.001032328,0.0003794508,0.9832687,0.01041896],"study_design_scores_gemma":[0.00008936193,0.00002850019,0.01763601,0.0002026324,0.00003947662,0.000172125,0.0002249861,0.0008226812,0.002127659,0.0009601035,0.9776171,0.00007931622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001818951,0.0002645055,0.0004711328,0.00007711861,0.00009435137,0.00002653803,0.9920707,0.002611918,0.002564597],"genre_scores_gemma":[0.001321355,0.00004855317,0.0006871268,0.00002222915,0.00001058159,0.00003764708,0.9966808,0.0002716495,0.0009200154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04875158,"threshold_uncertainty_score":0.09693563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398710950582544,"score_gpt":0.2775852778058558,"score_spread":0.2535981683000303,"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."}}