{"id":"W4398574106","doi":"10.7910/dvn/lrypvi","title":"TestProblems-AH","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002529695,0.0005571833,0.0005393119,0.000400102,0.00005032509,0.0001037113,0.0009710711,0.000459426,0.002449796],"category_scores_gemma":[0.000126182,0.0006400262,0.0001413703,0.0004126025,0.00003917955,0.0001944361,0.0002880852,0.0006619127,0.7173141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000240987,"about_ca_system_score_gemma":0.00005713706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002867193,"about_ca_topic_score_gemma":0.00006643066,"domain_scores_codex":[0.9980705,0.00002320446,0.0005265613,0.0004513805,0.0003488528,0.0005794626],"domain_scores_gemma":[0.9976214,0.0001323574,0.00007225221,0.001966957,0.00003470234,0.0001723017],"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":[0.000001402408,0.000008700273,9.046717e-7,0.0008974994,0.0001572472,0.000131761,0.000006415497,0.01418408,0.00002245175,0.00001135857,0.9844882,0.00008998302],"study_design_scores_gemma":[0.0002131852,0.00001174774,0.00002888818,0.000274732,0.00007957489,0.00002642564,0.000008537661,0.002713656,0.00001190092,0.000008003386,0.9959801,0.0006432756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001541912,0.00000449448,0.0003576991,0.000001489979,0.005235456,0.0003638973,0.9911745,0.002319376,0.0005415393],"genre_scores_gemma":[0.000004333367,0.0003496632,0.0003880858,0.00002717778,0.000627032,0.0001368542,0.9976062,0.0001888894,0.0006717351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7148643,"threshold_uncertainty_score":0.9996051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123702146026559,"score_gpt":0.2041225246634617,"score_spread":0.1917523100608058,"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."}}