{"id":"W6963817575","doi":"10.21963/12526","title":"Geo-referenced digital photographs and videos with associated GPS waypoints and tracks for terrestrial ecosystem types from Victoria Island, King William Island and continental Nunavut, 2014","year":2016,"lang":"en","type":"dataset","venue":"Canadian Cryospheric Information Network","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Satellite; Satellite imagery; Arctic; Ecosystem; Vegetation (pathology); Geographic coordinate system; Aerial photography; Photography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006289515,0.001292662,0.000756679,0.005370283,0.001063008,0.001268902,0.001865412,0.0006645249,0.01812803],"category_scores_gemma":[0.003154434,0.0005581814,0.0005623014,0.009633057,0.0004097325,0.0007588565,0.001338225,0.0009091384,0.01661099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005804144,"about_ca_system_score_gemma":0.007958452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7757797,"about_ca_topic_score_gemma":0.9077457,"domain_scores_codex":[0.9993082,0.00004029022,0.00006716367,0.0001419883,0.0002707122,0.0001716074],"domain_scores_gemma":[0.9976024,0.0001491709,0.0002189053,0.0003448363,0.001427745,0.0002569266],"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":[0.0001239065,0.00004722503,0.01235091,0.001053147,0.00005315337,0.0000921969,0.000273284,0.0007443816,0.0004242196,0.0005636281,0.9727225,0.01155153],"study_design_scores_gemma":[0.00006702221,0.00001456778,0.122653,0.0006724717,0.00003575861,0.00008801422,0.0008687334,0.0007358988,0.00066971,0.0003496701,0.8737912,0.00005392478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001142293,0.00005783257,0.00005901591,0.00001679998,0.00001172762,0.00002102314,0.9973323,0.00007916702,0.001279948],"genre_scores_gemma":[0.001225951,0.00005346568,0.0002367861,0.000006045454,0.000002233531,0.00005065873,0.9972649,0.00001591321,0.00114399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2242203,"threshold_uncertainty_score":0.4510816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005067141456130302,"score_gpt":0.1880797296668017,"score_spread":0.1830125882106714,"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."}}