{"id":"W2949804013","doi":"10.4095/314673","title":"Geological Survey of Canada Bedrock Data Model and tools: design and user guide documentation including ArcGIS(TM) add-ins","year":2019,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Bedrock; Documentation; Geological survey; Database; Geology; Computer science; Geomorphology; Paleontology; Programming language","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":[0.001552172,0.001461086,0.001038537,0.007960586,0.002428811,0.002051151,0.002999328,0.0005574237,0.04559479],"category_scores_gemma":[0.005400939,0.00161317,0.0007274973,0.01688814,0.0005498585,0.001394294,0.001099556,0.00166371,0.02321145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02412963,"about_ca_system_score_gemma":0.09480873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912295,"about_ca_topic_score_gemma":0.9938024,"domain_scores_codex":[0.9983265,0.00009438955,0.00009061094,0.0001290011,0.001078474,0.0002811019],"domain_scores_gemma":[0.988373,0.0002779346,0.0002690665,0.0004245653,0.01019138,0.0004640119],"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":[0.00004154908,0.00002966348,0.00512914,0.0001701935,0.00001891492,0.0000259952,0.0001300403,0.0009015654,0.0001942283,0.002328699,0.968802,0.02222803],"study_design_scores_gemma":[0.00007766303,0.00001426047,0.04885368,0.0002206981,0.0000487399,0.00006909318,0.0004626729,0.002655201,0.001094276,0.001117052,0.9453229,0.0000638018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002067307,0.0002521503,0.004808831,0.0005311258,0.0001360447,0.0004274817,0.9548903,0.001640513,0.0352463],"genre_scores_gemma":[0.01031672,0.001307191,0.03199712,0.0002825456,0.00002609455,0.0009592666,0.8788521,0.001321519,0.07493747],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04559479,"threshold_uncertainty_score":0.1750735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2831159178040556,"score_gpt":0.3285955719185598,"score_spread":0.04547965411450422,"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."}}