{"id":"W3140866258","doi":"","title":"Untapped Pool or Leaky Pipeline? Female Involvement in the ICT Sector","year":2019,"lang":"en","type":"article","venue":"TSpace","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Pipeline (software); Business; Computer science; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004477827,0.00008778209,0.0001082603,0.00002494106,0.000163846,0.00008708776,0.0002724575,0.00007059994,0.005023183],"category_scores_gemma":[0.00006040899,0.0000501067,0.00003265397,0.0003574949,0.00005407001,0.00007621561,0.00004455898,0.0001468938,0.0003758869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435906,"about_ca_system_score_gemma":0.0001843645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01273644,"about_ca_topic_score_gemma":0.03271716,"domain_scores_codex":[0.9989958,0.0001039073,0.0001292308,0.0001577128,0.0003276012,0.0002857948],"domain_scores_gemma":[0.9996344,0.0000852138,0.00004683622,0.0001483741,0.00003497379,0.00005018983],"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":[0.00009593577,0.0001552225,0.04496475,0.00002683898,0.00002331532,0.00002570448,0.2920344,0.00002959743,0.000585278,0.005240156,0.6487908,0.008028022],"study_design_scores_gemma":[0.0002513489,0.00003132993,0.006037563,0.00002070123,0.000003249391,4.537438e-7,0.160714,0.00001602676,0.0002302702,0.00003317948,0.8325536,0.0001082115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921238,0.00008579421,0.000008076864,0.02311149,0.0003123432,0.0005819452,0.000001250983,0.00003611397,0.05462499],"genre_scores_gemma":[0.6815755,0.00004321946,0.0000471432,0.0008017052,0.0001623514,0.00001694989,0.000003540608,0.000004662739,0.3173449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.26272,"threshold_uncertainty_score":0.9958864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09349733066498216,"score_gpt":0.3507443426770333,"score_spread":0.2572470120120511,"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."}}