{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001193146,0.000172616,0.0005384984,0.002372724,0.008244655,0.00269439,0.0018614,0.0009199848,0.009666509],"category_scores_gemma":[0.00439639,0.0003332683,0.0005689475,0.004378161,0.001348165,0.0009623097,0.002219374,0.001775587,0.0006735727],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04192589,"about_ca_system_score_gemma":0.1156519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969552,"about_ca_topic_score_gemma":0.9989588,"domain_scores_codex":[0.9982298,0.00008892555,0.00008370147,0.0001176931,0.0004155644,0.00106441],"domain_scores_gemma":[0.9871285,0.0005087631,0.0006940022,0.0001000122,0.003554506,0.008014206],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001587269,0.0001637575,0.975623,0.00004805314,0.00003190977,0.0002067463,0.004377181,0.0003305707,0.0001237158,0.001046255,0.007960847,0.009929307],"study_design_scores_gemma":[0.00001259534,0.00002390755,0.9798347,0.00005877631,0.00000869364,0.00003078955,0.0153937,0.0003099455,0.00004461098,0.0001051111,0.004162127,0.00001512081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985343,0.00057969,0.00003891021,0.003631318,0.00005010685,0.00002784901,0.002908619,0.00001410127,0.00740649],"genre_scores_gemma":[0.9884561,0.0004348729,0.00004933462,0.0003288606,0.0000140813,0.00001237258,0.001129979,0.000009386887,0.009564979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9988068,"threshold_uncertainty_score":0.304195,"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."}}