{"id":"W4247571946","doi":"10.4138/atlgeol.2014.005","title":"Geological Association of Canada Newfoundland Section Abstracts: 2014 Spring Technical Meeting","year":2014,"lang":"en","type":"article","venue":"Atlantic Geology","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy; Government of Newfoundland and Labrador; Memorial University of Newfoundland; Research & Development Corporation; Nalcor Energy (Canada)","funders":"","keywords":"Section (typography); Geology; Spring (device); Archaeology; Library science; Mining engineering; Geography; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009115889,0.0001024701,0.0002791976,0.00004840997,0.0001155417,0.00001057099,0.0001472494,0.0001905572,0.0006330804],"category_scores_gemma":[0.0008391378,0.00007843203,0.00005776971,0.0001096774,0.00004075611,0.0000343125,0.00001689495,0.000208316,0.00005408729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001727342,"about_ca_system_score_gemma":0.00005651604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9229225,"about_ca_topic_score_gemma":0.970894,"domain_scores_codex":[0.9986625,0.0001571054,0.0003552627,0.0002413788,0.0002254025,0.0003583015],"domain_scores_gemma":[0.9989335,0.0005531154,0.000230497,0.0001280975,0.0000729044,0.00008190444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007900641,0.000006864649,0.9151484,0.0000061816,0.00001553375,0.000003077422,0.000003816691,0.08371031,0.00003997074,0.0000492878,0.0004438456,0.0005647734],"study_design_scores_gemma":[0.0001354981,0.00007973513,0.9498327,0.000006138608,0.00002830348,0.00001252107,0.00001015689,0.04553785,0.000007190083,0.00061172,0.003642222,0.00009594063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986697,0.00004868282,0.001202803,0.001383474,0.0003103243,0.00004014814,7.975057e-7,0.0000358541,0.01028088],"genre_scores_gemma":[0.9986544,0.00002412185,0.0006447155,0.000191254,0.0002129087,4.823107e-7,0.00003047384,0.000001498243,0.0002401517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04797154,"threshold_uncertainty_score":0.6931787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006776161908969527,"score_gpt":0.1820442693179262,"score_spread":0.1752681074089567,"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."}}