{"id":"W2289545116","doi":"10.1063/1.4937634","title":"Natural Sciences and Engineering Research Council of Canada: Initiatives for women in science and engineering","year":2015,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Research council; Engineering ethics; Engineering research; Natural science; Engineering; Library science; Computer science; Electrical engineering; Government (linguistics); Philosophy; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0450489,0.0001354234,0.0002922676,0.0007670428,0.0003001299,0.0006429738,0.001182967,0.00004876167,0.000004036858],"category_scores_gemma":[0.07990896,0.0001026179,0.00001110806,0.003282585,0.001758682,0.001987699,0.0004337158,0.0003754585,5.815125e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168497,"about_ca_system_score_gemma":0.01535279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005319272,"about_ca_topic_score_gemma":0.003100504,"domain_scores_codex":[0.9917153,0.0000174849,0.0004053734,0.0006802162,0.006134581,0.001047078],"domain_scores_gemma":[0.9898865,0.001451458,0.0001136326,0.0001137898,0.007887484,0.0005471106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002325457,0.00007717203,0.3248842,0.0004216153,0.00001943937,0.00001191499,0.1484526,0.0001680116,0.3460692,0.1623405,0.005551419,0.01177136],"study_design_scores_gemma":[0.001268121,0.0006651167,0.2738996,0.0003143258,0.000002429405,0.00002849202,0.0753001,0.5967373,0.007374363,0.03337291,0.01042331,0.0006139998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938428,0.0003028031,0.00007065872,0.0009154361,0.0001100392,0.0002766417,0.000005136905,0.00001156056,0.004464869],"genre_scores_gemma":[0.998852,0.0000302142,0.0007520734,0.00003049586,0.00003251618,0.00004802443,5.269713e-8,0.000005098223,0.000249507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5965692,"threshold_uncertainty_score":0.9902292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2691834045240202,"score_gpt":0.3970936322209507,"score_spread":0.1279102276969304,"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."}}