{"id":"W2991962459","doi":"","title":"Graduation, retention and job market needs in Earth Science in Canada","year":2011,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Job market; Earth (classical element); Business; Engineering; Work (physics); Mathematics; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001081647,0.00007808361,0.000111717,0.0001964921,0.0000895351,0.00003098465,0.0001328299,0.00003040913,0.00005614792],"category_scores_gemma":[0.0003228943,0.0000658759,0.00001293316,0.000550944,0.00006027334,0.0001621844,0.00001025606,0.0001269868,0.00001075933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001057557,"about_ca_system_score_gemma":0.0001917707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917831,"about_ca_topic_score_gemma":0.9981309,"domain_scores_codex":[0.9989571,0.00004733251,0.0002537392,0.0002164521,0.0002379934,0.0002873973],"domain_scores_gemma":[0.9996256,0.00007584297,0.00006973981,0.00008891965,0.00003702725,0.0001029283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000556186,0.000003943924,0.9849925,0.000004144681,9.394204e-7,0.0000151485,0.000142542,0.008577883,0.00001189075,0.000002859941,0.00001511553,0.006227454],"study_design_scores_gemma":[0.00008553103,0.00001553251,0.9586561,0.00003581543,0.000003392848,0.000002772475,0.0003560898,0.04038008,0.00002439571,0.0003317925,0.00002408612,0.00008437131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973287,0.00009755309,0.000002730419,0.0001299455,0.00008604526,0.00004180453,0.000002502091,0.000009485708,0.02634294],"genre_scores_gemma":[0.9990703,0.00004162645,0.0007069098,0.00008371982,0.00001322138,4.447573e-7,0.000005924044,0.000001094983,0.00007677354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0318022,"threshold_uncertainty_score":0.2686341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02851569276158865,"score_gpt":0.1940349710286567,"score_spread":0.1655192782670681,"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."}}