{"id":"W6888725974","doi":"10.21966/ywpm-xf34","title":"Jellyfish Monitoring UAV Imagery - Pruth Bay - Calvert Island - British Columbia - Canada","year":2016,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jellyfish; Transect; Georeference; Bay; Aerial survey; Biomass (ecology); Aerial 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":[0.0001766149,0.0003439111,0.0001988558,0.001056187,0.001215809,0.0009114345,0.0005134042,0.0001616415,0.008931529],"category_scores_gemma":[0.0005380735,0.0002324791,0.00013208,0.002299733,0.000237994,0.0003102533,0.0004950992,0.0003359075,0.001757683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008069747,"about_ca_system_score_gemma":0.008268844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804673,"about_ca_topic_score_gemma":0.9927076,"domain_scores_codex":[0.9997318,0.00001188241,0.000007349416,0.00005879765,0.0001382502,0.00005183305],"domain_scores_gemma":[0.9992353,0.00002216882,0.00004301486,0.00004383666,0.0005713598,0.00008429567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005479903,0.0002119856,0.4600795,0.0006875712,0.0001553885,0.0007853103,0.002568664,0.006194748,0.03687537,0.0008979463,0.1895696,0.301426],"study_design_scores_gemma":[0.00004352683,0.00003874385,0.9194862,0.000153339,0.00002979611,0.00007909769,0.001513292,0.006827143,0.004258256,0.00007864091,0.06745373,0.00003818635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7439193,0.001421937,0.006034418,0.0007098864,0.0001038947,0.0009414388,0.1345661,0.002974985,0.1093281],"genre_scores_gemma":[0.8459687,0.001618932,0.01958852,0.0002371539,0.00002112664,0.0004386138,0.07466079,0.0003909119,0.05707533],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01953274,"threshold_uncertainty_score":0.05855042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156663474828263,"score_gpt":0.2242117321708244,"score_spread":0.2126450974225417,"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."}}