{"id":"W4238974667","doi":"10.22215/isema/","title":"ISEMA: Perspectives on Innovation, Science and Environment","year":2019,"lang":"en","type":"paratext","venue":"ISEMA Perspectives on Innovation Science & Environment","topic":"Diverse Education and Engineering Focus","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.004699647,0.0006765625,0.0005363536,0.003241623,0.00247988,0.0008810178,0.001424266,0.000307967,0.004600399],"category_scores_gemma":[0.00132882,0.0006903529,0.0000760681,0.007009328,0.008361612,0.001311576,0.0003531701,0.000797466,0.00861029],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007809697,"about_ca_system_score_gemma":0.0022639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001425448,"about_ca_topic_score_gemma":0.000001779906,"domain_scores_codex":[0.9907807,0.0001276333,0.0007795191,0.002533218,0.004661337,0.00111762],"domain_scores_gemma":[0.996821,0.0001702058,0.0007047511,0.001161158,0.0008706035,0.0002722644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005771954,0.001065662,0.0001185842,0.0000358063,0.00005519978,0.000003166527,0.1052368,0.005597488,0.006995828,0.8338593,0.04190627,0.005068183],"study_design_scores_gemma":[0.0007136446,0.0005037819,0.006030842,0.0001809517,0.00002763113,0.00000271127,0.20251,0.0001515322,0.00125572,0.0005562318,0.7867239,0.001343032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3239595,0.001211588,0.00199497,0.02045231,0.007916622,0.003535265,0.0001965642,0.0002318108,0.6405014],"genre_scores_gemma":[0.9108709,0.003330382,0.0008002991,0.0007912052,0.0008883243,0.0001834704,0.00003004099,0.00007212678,0.08303325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.833303,"threshold_uncertainty_score":0.9995548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495142985315204,"score_gpt":0.3046242045784586,"score_spread":0.2796727747253065,"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."}}