{"id":"W6888446419","doi":"10.21227/pmbc-7467","title":"Alberta River Ice Segmentation Dataset","year":2019,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bridge (graph theory); Aerial photos; High resolution; Segmentation; Aerial survey; Digital camera; Video camera","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005699796,0.003758075,0.001679937,0.004820632,0.001576544,0.002148445,0.003651329,0.001930877,0.01730637],"category_scores_gemma":[0.001535956,0.0005923025,0.001365888,0.00715702,0.0006812623,0.001002863,0.001440027,0.001600083,0.03134531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002893903,"about_ca_system_score_gemma":0.004023409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3387617,"about_ca_topic_score_gemma":0.6285028,"domain_scores_codex":[0.9990558,0.00006895117,0.00004400326,0.0002699216,0.0003456771,0.000215702],"domain_scores_gemma":[0.9992661,0.00007123339,0.00003361626,0.0001613871,0.000383967,0.00008378867],"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":[0.0001194359,0.00006569912,0.001654191,0.0004907151,0.00006813656,0.0001334249,0.00005073673,0.001581196,0.0007936454,0.0004244961,0.9822957,0.01232271],"study_design_scores_gemma":[0.0001604533,0.00003310529,0.01243076,0.0003342093,0.00007557511,0.0002712293,0.0003275009,0.005722327,0.002322778,0.001172041,0.9770545,0.00009547704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002209144,0.0006214783,0.0005470814,0.0001164657,0.0001102705,0.00005706188,0.9884454,0.00324004,0.004653087],"genre_scores_gemma":[0.001174916,0.0001026095,0.0008358953,0.00002665752,0.000008153035,0.00003133896,0.9967732,0.0000927578,0.0009544171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6612383,"threshold_uncertainty_score":0.6735799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04032355765970048,"score_gpt":0.3266340330912169,"score_spread":0.2863104754315164,"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."}}