{"id":"W1543662716","doi":"","title":"Third International Conference on Geoscience Education: Dedicated to Teaching and Learning","year":2001,"lang":"en","type":"article","venue":"Geoscience Canada","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Earth science; Computer science; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000534557,0.00009490651,0.00009447191,0.00009237578,0.0006575549,0.0001284324,0.0004038998,0.00002596697,0.000673181],"category_scores_gemma":[0.000539522,0.00007464919,0.00001448301,0.0003263186,0.00007998277,0.0001373961,0.00002508902,0.000290753,0.00004446849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001720002,"about_ca_system_score_gemma":0.0005603367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7714224,"about_ca_topic_score_gemma":0.6802385,"domain_scores_codex":[0.9986358,0.00007587818,0.000134082,0.0003883425,0.0004708215,0.0002951205],"domain_scores_gemma":[0.9993929,0.00007523752,0.00004711117,0.0001102844,0.00006804804,0.0003063763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001281202,0.00002278038,0.3403586,0.000002631489,0.000004957706,0.00002239891,0.0002712324,0.0319378,0.00005007135,0.0008091091,0.002030297,0.6244773],"study_design_scores_gemma":[0.00008549158,0.000144583,0.4270084,0.00004368216,0.000007053249,0.00004684883,0.001783089,0.4490321,0.000004323539,0.0004842377,0.1210525,0.0003077148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585715,0.00004503414,0.002174288,0.0111086,0.0005908695,0.00005148463,0.000009232754,0.00002958686,0.02741942],"genre_scores_gemma":[0.9890773,0.00003175169,0.002068504,0.004061603,0.00007378357,0.00000114438,0.00001916108,8.94026e-7,0.004665897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6241696,"threshold_uncertainty_score":0.737086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932199929514307,"score_gpt":0.2326727747407494,"score_spread":0.2133507754456063,"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."}}