{"id":"W7165526121","doi":"10.21966/z1ht-n485","title":"Discovery Islands LiDAR Dataset - 2014 - British Columbia - Canada","year":2014,"lang":"","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Lidar; Trajectory; Bay; Position (finance); Calibration; Base (topology)","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":[0.0003575738,0.002033221,0.001243031,0.003423478,0.002515328,0.002011963,0.003149612,0.001131028,0.02627968],"category_scores_gemma":[0.001600041,0.0005630503,0.0008419405,0.009111105,0.0004705321,0.0009739102,0.001069212,0.001596158,0.02489433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008942382,"about_ca_system_score_gemma":0.01257808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9515162,"about_ca_topic_score_gemma":0.9777877,"domain_scores_codex":[0.9991133,0.00003764482,0.00004172373,0.0002079949,0.0003584225,0.000241054],"domain_scores_gemma":[0.9983928,0.00004949255,0.00003887454,0.000188003,0.00121787,0.0001128921],"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":[0.00008446787,0.00004461208,0.003477152,0.0001941745,0.00006150821,0.00009025692,0.00003310943,0.001335482,0.0004080482,0.0004492629,0.9797755,0.0140464],"study_design_scores_gemma":[0.0001631487,0.00002282243,0.03831158,0.0004071153,0.00007297817,0.0002255178,0.000683841,0.01219267,0.00153455,0.0009907441,0.9452513,0.0001436897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003467088,0.0003975819,0.0004746485,0.0001785708,0.00009258636,0.00005183371,0.9879935,0.001279861,0.006064334],"genre_scores_gemma":[0.004125813,0.0001883461,0.0008921493,0.00004375031,0.00001014416,0.00004495484,0.990506,0.0001166467,0.004072239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04848379,"threshold_uncertainty_score":0.09753859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009410891819317044,"score_gpt":0.2230849519938366,"score_spread":0.2136740601745196,"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."}}