{"id":"W6945046702","doi":"10.21966/0ydj-0t79","title":"Place Glacier Aerial Photo and LiDAR Survey","year":2021,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glacier; Climate change; Geospatial analysis; Lidar; Snow; Digital elevation model; General partnership; Aerial photography; Natural hazard","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":[0.0004147623,0.000431411,0.0002555989,0.002786677,0.00170042,0.0009717038,0.0008213499,0.0003295838,0.03869928],"category_scores_gemma":[0.001080611,0.0002217741,0.0002133421,0.003622453,0.0003076457,0.0004702433,0.0008059089,0.0006819651,0.02019215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003897014,"about_ca_system_score_gemma":0.00941158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8603203,"about_ca_topic_score_gemma":0.9484059,"domain_scores_codex":[0.9992237,0.00002255222,0.00001241399,0.00007605796,0.0005589791,0.0001063169],"domain_scores_gemma":[0.9983361,0.00003036734,0.00003408878,0.00009440235,0.001379021,0.0001260776],"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":[0.0000817878,0.00006765519,0.02641392,0.0001507134,0.00002135445,0.0002817716,0.0005580793,0.00134738,0.002852466,0.001390822,0.8809423,0.08589166],"study_design_scores_gemma":[0.00002834901,0.00001883311,0.1254082,0.0001215638,0.00001034631,0.0001190233,0.001349697,0.00236502,0.00136842,0.0004673441,0.8687011,0.00004208996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03401383,0.0004406017,0.006767019,0.001156344,0.0002421473,0.001197357,0.7183111,0.003941493,0.2339301],"genre_scores_gemma":[0.1596878,0.000867856,0.03175986,0.0008159625,0.00008479846,0.000695883,0.6610823,0.0009820671,0.1440235],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8603203,"threshold_uncertainty_score":0.2810046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03751169486256394,"score_gpt":0.28654445212854,"score_spread":0.249032757265976,"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."}}