{"id":"W6888681629","doi":"10.21966/0rc2-5a62","title":"LiDAR-derived Drainage Network for Calvert Island - British Columbia - Canada","year":2015,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital elevation model; Tributary; STREAMS; Hydrology (agriculture); Drainage network; Raster graphics; Drainage basin; Elevation (ballistics); Drainage","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":[0.0002042867,0.0005825034,0.0004693085,0.003770977,0.001461433,0.001637309,0.001191052,0.0002891978,0.02091559],"category_scores_gemma":[0.001749589,0.000264409,0.0003167868,0.008588672,0.0002149113,0.0004405126,0.0006552956,0.0007465752,0.006719159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01246423,"about_ca_system_score_gemma":0.02302916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9802752,"about_ca_topic_score_gemma":0.9932919,"domain_scores_codex":[0.9996151,0.00001293437,0.00002529289,0.00009358203,0.000175545,0.00007759473],"domain_scores_gemma":[0.9969886,0.00008769474,0.0001395571,0.0001453518,0.002385342,0.0002535514],"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":[0.00009119457,0.00005022333,0.08108127,0.0004350608,0.00009427909,0.0002030091,0.0003688697,0.002983357,0.000604414,0.002224665,0.8700454,0.04181832],"study_design_scores_gemma":[0.00005902654,0.00000930978,0.2044522,0.0004731274,0.00005443706,0.000122564,0.001118887,0.008212911,0.0009366365,0.0009247788,0.7835455,0.00009060603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01276094,0.0002152922,0.000643324,0.000101615,0.00002081104,0.00005572123,0.9756281,0.0004059929,0.01016817],"genre_scores_gemma":[0.041469,0.0003652463,0.003069233,0.00007343454,0.000007799697,0.0001824265,0.9460457,0.0001516239,0.008635549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02091559,"threshold_uncertainty_score":0.09043473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867733979743378,"score_gpt":0.2396975796572104,"score_spread":0.2210202398597766,"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."}}