{"id":"W7020591383","doi":"","title":"Let’s make this our “thing”: Levelling the gender field for a brighter future in paramedicine","year":2018,"lang":"en","type":"article","venue":"Acquire (CQUniversity)","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Levelling; Parallels; Gender bias; Specialty; Quality (philosophy); Field (mathematics); Gender disparity","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":[0.0009400285,0.000121739,0.0001744851,0.0001466355,0.0009433296,0.00005843173,0.0008050773,0.0001950434,0.0005437533],"category_scores_gemma":[0.0001310435,0.00009687062,0.0000913832,0.0004642909,0.0003098774,0.0002373641,0.0001290378,0.0002097659,0.0000539837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118728,"about_ca_system_score_gemma":0.0001257179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693077,"about_ca_topic_score_gemma":0.004740679,"domain_scores_codex":[0.9986084,0.0001108133,0.00011883,0.0002637097,0.0004882269,0.0004100422],"domain_scores_gemma":[0.9992378,0.000174824,0.00006952971,0.000236233,0.0001681784,0.0001134479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004801182,0.0001620991,0.02279281,0.00008251978,0.0002943359,0.0002673639,0.3320689,0.000007527219,0.0001048296,0.1287962,0.4495716,0.06537174],"study_design_scores_gemma":[0.0008552743,0.000126662,0.001125365,0.000049079,0.00009058827,0.000001638715,0.1343557,0.00003968166,0.00006665209,0.00136417,0.861766,0.0001591464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.463097,0.0007262158,0.009424796,0.1716745,0.008055355,0.00160731,0.00003215248,0.0002752789,0.3451075],"genre_scores_gemma":[0.9609469,0.0001949696,0.0003846922,0.01137284,0.003169866,0.000002144278,0.000007050581,0.000009268116,0.02391228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4978499,"threshold_uncertainty_score":0.7255424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05244965079177322,"score_gpt":0.3080239124883088,"score_spread":0.2555742616965356,"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."}}