{"id":"W2944764729","doi":"10.1016/j.erss.2019.03.011","title":"Closing the renewable energy gender gap in the United States and Canada: The role of women’s professional networking","year":2019,"lang":"en","type":"article","venue":"Energy Research & Social Science","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"U.S. Department of Energy","keywords":"Renewable energy; Business; Economic growth; Political science; Public relations; Economics; 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":[],"consensus_categories":[],"category_scores_codex":[0.003340172,0.000229335,0.0005149802,0.001658629,0.01590205,0.007277252,0.002007733,0.001929731,0.01100685],"category_scores_gemma":[0.007389081,0.0002417336,0.0004415787,0.002086882,0.005547747,0.003055698,0.004657585,0.002995013,0.0003521822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04423381,"about_ca_system_score_gemma":0.130801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.976981,"about_ca_topic_score_gemma":0.9914103,"domain_scores_codex":[0.9960568,0.0005407103,0.00005187293,0.0001977663,0.0007466843,0.0024062],"domain_scores_gemma":[0.9911389,0.001661643,0.0005479743,0.0001164424,0.001904548,0.004630587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004742941,0.0005628276,0.3050425,0.0003092585,0.0001196644,0.001083301,0.2782472,0.0005938298,0.0007111701,0.1180705,0.07393304,0.2208524],"study_design_scores_gemma":[0.0000389796,0.00006726623,0.2611039,0.0008885767,0.0000700374,0.0001668969,0.5497761,0.0006841645,0.0004169254,0.006866632,0.179841,0.00007949131],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7884501,0.005564479,0.0004394271,0.08514273,0.0006354097,0.00006319509,0.0005880896,0.00002319803,0.1190935],"genre_scores_gemma":[0.9861088,0.001524777,0.0001299156,0.002867052,0.00004960944,0.00001903367,0.00009805775,0.00001926264,0.009183465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04423381,"threshold_uncertainty_score":0.3209403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04024440326928318,"score_gpt":0.3418923271144824,"score_spread":0.3016479238451992,"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."}}