{"id":"W6913169250","doi":"10.5683/sp2/yug76g","title":"Ice 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":"Laser scanning; Scanner; 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":[0.0009560219,0.003123069,0.001748033,0.003098702,0.001053099,0.002071698,0.002688727,0.001985705,0.02186789],"category_scores_gemma":[0.001990457,0.0007437227,0.001444415,0.0045997,0.000889718,0.001386463,0.002320959,0.001666671,0.08154778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400594,"about_ca_system_score_gemma":0.002490924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04571554,"about_ca_topic_score_gemma":0.1065397,"domain_scores_codex":[0.9986754,0.0001258333,0.00009811745,0.0003962179,0.0004220651,0.0002824087],"domain_scores_gemma":[0.9988489,0.0001065478,0.0001034848,0.0004489655,0.0003439053,0.000148185],"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":[0.0001366756,0.00005352279,0.002981402,0.0006040467,0.00006797211,0.0001009588,0.0000841603,0.0006677088,0.001270706,0.0004720927,0.9856262,0.007934556],"study_design_scores_gemma":[0.00008612545,0.0000218876,0.01368193,0.0001888501,0.0000369018,0.0001611001,0.000172184,0.0006028691,0.002260525,0.000850108,0.9818687,0.00006878665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009389758,0.0001741631,0.000261694,0.0000528791,0.00006836182,0.00002076152,0.9951903,0.001770777,0.001522145],"genre_scores_gemma":[0.0006817775,0.00003904799,0.0003802644,0.00001625588,0.000009233047,0.00002493962,0.9982674,0.0001467141,0.0004344547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9542844,"threshold_uncertainty_score":0.09089887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03394549369678476,"score_gpt":0.2883087726863827,"score_spread":0.254363278989598,"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."}}