{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009580673,0.001002247,0.0008428323,0.003155785,0.01345584,0.01015371,0.002568465,0.006505968,0.0652727],"category_scores_gemma":[0.01198475,0.0007812581,0.0007865173,0.003607896,0.003051407,0.002934803,0.006289726,0.008015921,0.009185839],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05803377,"about_ca_system_score_gemma":0.4807927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9453447,"about_ca_topic_score_gemma":0.9805885,"domain_scores_codex":[0.9908727,0.0003848398,0.0001200718,0.0002086767,0.004166347,0.004247274],"domain_scores_gemma":[0.9471434,0.001694503,0.0005174043,0.0005164879,0.0168815,0.03324661],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007618016,0.00009221985,0.001605013,0.0001253137,0.000008020545,0.00009167706,0.0005521805,0.00006608285,0.0003675654,0.02033954,0.9487343,0.02794205],"study_design_scores_gemma":[0.00003376541,0.00002922244,0.005212609,0.0001600958,0.00001154026,0.00003004114,0.001911889,0.0000776755,0.0003620092,0.001486979,0.9906599,0.00002431312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01341261,0.01067785,0.002044675,0.6524523,0.0183379,0.0009397413,0.01291739,0.00106995,0.2881475],"genre_scores_gemma":[0.07618454,0.01017571,0.00779823,0.06135601,0.00117317,0.0003549059,0.004726544,0.0006096798,0.8376212],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9904193,"threshold_uncertainty_score":0.4210665,"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."}}