{"id":"W2775398141","doi":"10.1130/abs/2017am-306192","title":"STUDENT SUCCESS IN GEOSCIENCE: A SAGE 2YC PERSPECTIVE","year":2017,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Geography Education and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Perspective (graphical); SAGE; Earth science; Computer science; Data science; Geology; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007907008,0.0001639211,0.0003099482,0.00003343946,0.001039343,0.0002238522,0.0008941256,0.0001622649,0.0003196154],"category_scores_gemma":[0.0001882313,0.0001228197,0.0001836319,0.0003064938,0.004883226,0.0003109861,0.0001109723,0.0003366143,0.00001458518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008542856,"about_ca_system_score_gemma":0.0002866039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09919652,"about_ca_topic_score_gemma":0.003440209,"domain_scores_codex":[0.9978965,0.0001140131,0.0002833169,0.0004423805,0.0006381293,0.0006256942],"domain_scores_gemma":[0.9985508,0.0001285031,0.0004983264,0.0003570385,0.0002463312,0.0002189587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002226171,0.001047585,0.8825243,0.000008530056,0.00003537614,0.000006561946,0.04034415,0.00002517132,0.000006137804,0.0009943116,0.00006057764,0.074925],"study_design_scores_gemma":[0.0003150858,0.0003422293,0.8700244,0.00002705664,0.0000110962,8.792901e-7,0.106168,0.000007511815,0.000005219505,0.0006473236,0.02228446,0.0001667338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953055,0.0001653569,0.0001154003,0.01299926,0.0001275114,0.0006041519,0.000002315976,0.00006620261,0.03286483],"genre_scores_gemma":[0.9931379,0.0003419736,0.005243439,0.0004645264,0.00009255572,0.00007100897,0.000003090947,0.000005881035,0.0006396268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09575631,"threshold_uncertainty_score":0.9978249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04042559571647529,"score_gpt":0.3797516701070334,"score_spread":0.3393260743905581,"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."}}