{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0004987561,0.001751008,0.00226843,0.000306988,0.001887929,0.007636375,0.002892923,0.00171414,0.005406552],"category_scores_gemma":[0.0008280273,0.003406359,0.0005178349,0.001310869,0.001477407,0.006216099,0.00117852,0.002517123,0.00773419],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0044394,"about_ca_system_score_gemma":0.02763574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982472,"about_ca_topic_score_gemma":0.9999625,"domain_scores_codex":[0.9880739,0.0001315635,0.002734266,0.003188439,0.00311416,0.002757684],"domain_scores_gemma":[0.9921937,0.00007051199,0.001776525,0.003335036,0.001103016,0.00152123],"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":[0.0001179698,0.0006724724,0.0007377431,0.0005078204,0.0007346683,0.002452109,0.00005743801,0.001736348,0.00000897424,0.00002810657,0.9913856,0.00156078],"study_design_scores_gemma":[0.002626432,0.0001343454,0.000907668,0.001378006,0.0008717724,0.0008997573,0.00002327225,0.01017136,0.000003650997,0.0003666992,0.9789878,0.003629256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01411727,0.0004639884,0.0005977421,0.00002051622,0.00632066,0.002292137,0.9698826,0.0002112496,0.00609385],"genre_scores_gemma":[0.02612763,0.0006050685,0.0001957476,0.0006481482,0.00100843,0.0002633146,0.9533645,0.0005117868,0.01727541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02319634,"threshold_uncertainty_score":0.9997841,"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."}}