{"id":"W6894244232","doi":"10.5683/sp3/hdm4wf","title":"Avadlek Spit -- Herschel Island -- UAV Photogrammetry -- Metadata -- 2022","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Photogrammetry; Data set; Point cloud; Data file; Cloud computing","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":[0.00065817,0.002177052,0.001239663,0.002372858,0.0008353514,0.001783329,0.002212232,0.001314246,0.02320107],"category_scores_gemma":[0.001655564,0.0008117395,0.001039715,0.004433967,0.0006991359,0.001229391,0.001601726,0.001377127,0.05290961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268767,"about_ca_system_score_gemma":0.002184112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08911841,"about_ca_topic_score_gemma":0.1710353,"domain_scores_codex":[0.9991581,0.00006615377,0.00005686768,0.0002282041,0.0003351377,0.0001554819],"domain_scores_gemma":[0.9988175,0.0001008205,0.00008889504,0.000441928,0.0004053324,0.0001454516],"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":[0.0001274999,0.0000498493,0.002604397,0.0005445608,0.00005453328,0.00006526324,0.00007653236,0.0009498228,0.001049031,0.0005697551,0.9872377,0.006671138],"study_design_scores_gemma":[0.0001346468,0.00003431281,0.01709099,0.0001728098,0.0000352324,0.0001165789,0.0002788374,0.001413073,0.00260482,0.0009065052,0.9771458,0.00006637993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006597064,0.000029062,0.0002030205,0.00003038999,0.00002703416,0.00001794369,0.9964154,0.001367632,0.001249888],"genre_scores_gemma":[0.0007583559,0.00001359783,0.0004212246,0.000009601406,0.000002211946,0.00002247141,0.9982672,0.0001378059,0.0003674992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9108816,"threshold_uncertainty_score":0.1771994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375502982548494,"score_gpt":0.2769110369520312,"score_spread":0.2531560071265462,"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."}}