{"id":"W7044049585","doi":"","title":"Vrouwen in Energie Noord-Nederland: de VIEN-jaardag","year":2019,"lang":"nl","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Sustainable Development and Policies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Quarter (Canadian coin); Subject (documents)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001145455,0.0004472064,0.0004537195,0.0001362414,0.0003081151,0.0002778259,0.001973087,0.0001492907,0.0006258876],"category_scores_gemma":[0.00001196883,0.0004167701,0.00004637334,0.0004994039,0.0001823055,0.0007839988,0.002727758,0.0003971895,0.0005994139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001622754,"about_ca_system_score_gemma":0.00007796581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01523085,"about_ca_topic_score_gemma":0.01373023,"domain_scores_codex":[0.9965904,0.0003068485,0.0004739815,0.0009664905,0.0003777417,0.001284515],"domain_scores_gemma":[0.9979827,0.0003643149,0.000171523,0.001192987,0.000006624912,0.0002817854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001270159,0.00009562886,0.9514133,0.0004381402,0.00005440138,0.00005676468,0.01910559,0.008042896,0.0007491367,0.00009160898,0.001762839,0.01806265],"study_design_scores_gemma":[0.0008564506,0.00007825766,0.7140731,0.0005472363,0.00004641946,0.00002459385,0.007193317,0.1800798,0.00005270959,0.0004568832,0.09589516,0.0006960096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796811,0.0009954196,0.00007604495,0.0003484841,0.0003491196,0.0003457812,0.0001766306,0.00005446404,0.01797291],"genre_scores_gemma":[0.9890767,0.002799577,0.0006284287,0.0008318265,0.000252724,0.00001345982,0.0007870063,0.00004808788,0.005562233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2373402,"threshold_uncertainty_score":0.9998284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007472453896697919,"score_gpt":0.2232404912856019,"score_spread":0.2157680373889039,"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."}}