{"id":"W6926310458","doi":"10.21966/xtp4-7p91","title":"Bathymetric Survey - Northwest Calvert Island","year":2020,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathymetry; Python (programming language); Echo sounding; Bathymetric chart; Hydrographic survey; Sonar; Hydrography","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001761151,0.000409563,0.0007337015,0.0004669437,0.0002144082,0.00005395361,0.0002371606,0.0004892972,0.0003729282],"category_scores_gemma":[0.0006276356,0.0003410942,0.0002383557,0.00113091,0.0001804731,0.0001152543,0.0001207701,0.0009895896,0.004179948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208399,"about_ca_system_score_gemma":0.0008239384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004389398,"about_ca_topic_score_gemma":0.02571156,"domain_scores_codex":[0.9981896,0.00008078279,0.0004308118,0.0005337751,0.0004161578,0.0003488655],"domain_scores_gemma":[0.9984773,0.0000789507,0.0001577569,0.0007210784,0.0001454595,0.0004194267],"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":[0.00003147316,0.000172427,0.006614081,0.0002300414,0.0002039825,0.0007710224,0.000006809875,0.000005698169,0.00002598841,0.000002418387,0.9917031,0.00023297],"study_design_scores_gemma":[0.0007596138,0.0002401178,0.05387137,0.0001143446,0.0003451558,0.0002190147,0.000001519208,0.000005091058,0.000007603064,0.000001187813,0.9441081,0.0003268828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006310127,0.0001471958,0.00003494773,0.0003372546,0.002918256,0.0004235278,0.9947257,0.00009949075,0.0006826026],"genre_scores_gemma":[0.0007822208,0.000748524,0.000009136875,0.003116478,0.0009886073,0.00003699215,0.9938711,0.00002978929,0.0004171866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04759499,"threshold_uncertainty_score":0.9999041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04215800763760381,"score_gpt":0.2978003796988414,"score_spread":0.2556423720612376,"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."}}