{"id":"W7165534292","doi":"10.21966/zv0b-za54","title":"Lidar Derived Canopy Height Model - Calvert Island - British Columbia - Canada","year":2016,"lang":"","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lidar; Canopy; Data acquisition; Tree canopy; Metre","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":[0.0003949446,0.001650712,0.001017205,0.003835452,0.001902799,0.00187839,0.002858819,0.0007394503,0.02413542],"category_scores_gemma":[0.001691294,0.0006612082,0.0007241767,0.01020748,0.0003410636,0.0008299174,0.0009916235,0.001628436,0.02105847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01148627,"about_ca_system_score_gemma":0.01812508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9623592,"about_ca_topic_score_gemma":0.9793059,"domain_scores_codex":[0.9993937,0.0000261959,0.00003471313,0.0001562329,0.0002330562,0.0001561345],"domain_scores_gemma":[0.9971699,0.00007719932,0.00012619,0.0002516569,0.002181656,0.0001933892],"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":[0.00007008004,0.00003163838,0.01120865,0.0002379341,0.00007174166,0.00003871546,0.00005570912,0.0009458862,0.0002358451,0.0005051249,0.9787184,0.007880348],"study_design_scores_gemma":[0.0001236656,0.000009766847,0.09583991,0.000474021,0.00007978104,0.0000760863,0.0004033907,0.003645618,0.001076549,0.0006994471,0.8974749,0.00009692842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001077233,0.0000685226,0.0001354532,0.0000304254,0.00001496612,0.00002088207,0.9966664,0.0002876322,0.001698578],"genre_scores_gemma":[0.00306672,0.00006901126,0.0004843427,0.00002327743,0.000003580491,0.00007312386,0.9939092,0.00008452171,0.002286221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03764081,"threshold_uncertainty_score":0.08333915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190662941620456,"score_gpt":0.2133990629108786,"score_spread":0.201492433494674,"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."}}