{"id":"W7165516453","doi":"10.21966/pggc-zh06","title":"25m Digital Elevation Model - Calvert Island - British Columbia - Canada","year":2011,"lang":"","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital elevation model; Elevation (ballistics); Lidar; Geodetic datum; Terrain; Shore; Sea level; Altimeter","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":[0.0003224089,0.0009617886,0.000661478,0.002221326,0.001234884,0.00213207,0.001569816,0.0004557679,0.09484752],"category_scores_gemma":[0.001328456,0.0003654881,0.000399318,0.01059974,0.0003016453,0.0008695647,0.0008481729,0.001184239,0.04722159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009451086,"about_ca_system_score_gemma":0.02035762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9608622,"about_ca_topic_score_gemma":0.975114,"domain_scores_codex":[0.9995491,0.00002800492,0.00003103577,0.00007718731,0.0002134041,0.0001012481],"domain_scores_gemma":[0.9983032,0.00003746243,0.0000342229,0.00007870445,0.001453851,0.00009250287],"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":[0.00006261846,0.00002504661,0.003428963,0.0002403031,0.00002574743,0.00008863617,0.0001922451,0.001577677,0.0003405408,0.002206319,0.9658397,0.02597209],"study_design_scores_gemma":[0.00005609125,0.000004129896,0.01688025,0.0002296129,0.00001654612,0.00003844844,0.0005040931,0.002360883,0.0003349711,0.0006281095,0.9788947,0.0000521111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001673385,0.0001577809,0.00142068,0.0001960174,0.0000663409,0.0001570309,0.9546126,0.0007313685,0.04098485],"genre_scores_gemma":[0.01166479,0.0006202701,0.007485657,0.0001274467,0.00001354496,0.0004268835,0.9437857,0.0004609939,0.03541474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09484752,"threshold_uncertainty_score":0.3172966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825026093485003,"score_gpt":0.2030000527313965,"score_spread":0.1847497917965464,"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."}}