{"id":"W6944556909","doi":"10.18739/a2mk6591g","title":"Multi-decadal Glacial Lake Inventory in the Alaska Region between 1984 and 2019","year":2021,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glacier; Glacial period; Glacial lake; Hydrology (agriculture); Climate change; Glacier terminus","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001258966,0.0009081865,0.001111079,0.0006247469,0.0002248938,0.0002984167,0.001466355,0.001026325,0.0002853711],"category_scores_gemma":[0.0003989975,0.0007635817,0.0002424717,0.0008384941,0.0004314594,0.0003045128,0.0007119488,0.002089553,0.002544912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308621,"about_ca_system_score_gemma":0.0004738335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010548,"about_ca_topic_score_gemma":0.01711529,"domain_scores_codex":[0.9945003,0.001283202,0.0008803315,0.001322119,0.001082257,0.0009318375],"domain_scores_gemma":[0.9968366,0.0004046408,0.0004837295,0.00193973,0.0000895943,0.000245678],"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":[0.00007028141,0.0001796395,0.01818336,0.0001446474,0.0001058715,0.0008105132,0.0003020064,0.000001096048,0.00003262845,0.000001612232,0.97993,0.0002382799],"study_design_scores_gemma":[0.001708045,0.00006526648,0.06792109,0.0003300593,0.0003422958,0.0001263617,0.0002077817,0.00001165917,0.00001705281,0.00001511861,0.9284586,0.0007966846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02766309,0.003425432,0.000001873521,0.0001410956,0.0006824029,0.0009005372,0.9670016,0.00007924258,0.0001047126],"genre_scores_gemma":[0.001787918,0.0009576406,0.00005859218,0.0005213322,0.001773389,0.00008636183,0.9944393,0.0001704112,0.0002050683],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05147148,"threshold_uncertainty_score":0.9994815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03833835064192738,"score_gpt":0.2933534201085215,"score_spread":0.2550150694665941,"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."}}