{"id":"W7162066656","doi":"10.21966/hq5n-5g06","title":"Bamfield Region UAV Imagery and Surface Model Data","year":2016,"lang":"","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Point cloud; Georeference; Aerial survey; Satellite imagery; Key (lock); Raw data; Digital surface; Grid","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":[0.0001975275,0.0003840846,0.0002521648,0.001262263,0.0005027276,0.0004574075,0.0005570162,0.0003416647,0.02725954],"category_scores_gemma":[0.000652438,0.0001914088,0.000129201,0.001776032,0.0001600172,0.0005501932,0.0003185372,0.0004461726,0.009694709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009066772,"about_ca_system_score_gemma":0.001090141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1234703,"about_ca_topic_score_gemma":0.1823718,"domain_scores_codex":[0.9998343,0.00001079425,0.000006271997,0.00003698974,0.00008505875,0.00002646797],"domain_scores_gemma":[0.9997185,0.0000232052,0.00001760674,0.00004824972,0.0001712001,0.00002110696],"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":[0.0009215539,0.0003344831,0.04211162,0.0007623295,0.00005287433,0.00083369,0.0009838218,0.02176892,0.04509215,0.002745521,0.5162829,0.3681102],"study_design_scores_gemma":[0.0001897074,0.000139008,0.2023994,0.0002648909,0.00003821292,0.0003412232,0.001129399,0.05381029,0.02214945,0.001217861,0.7182281,0.00009254123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2194709,0.001055451,0.03615152,0.001019409,0.0003459504,0.002180215,0.526493,0.0128527,0.2004308],"genre_scores_gemma":[0.40703,0.0006958158,0.07752834,0.0002462594,0.00005688281,0.001210013,0.4562128,0.0008939911,0.0561258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1234703,"threshold_uncertainty_score":0.2455033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1247449117161362,"score_gpt":0.3182357767100542,"score_spread":0.1934908649939179,"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."}}