{"id":"W6949824761","doi":"10.5281/zenodo.6413976","title":"HARVIS Project AI Assistant for SPO","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Deep River Science Academy","funders":"European Commission","keywords":"Cockpit; Presentation (obstetrics); Cognitive computing; Cognition; Thematic analysis","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002350205,0.0001084812,0.0001032157,0.0001298642,0.0006948165,0.0005424175,0.0003080417,0.00004518272,0.004151996],"category_scores_gemma":[0.0001673509,0.0001225753,0.00004896842,0.0004492773,0.00003016249,0.0002085213,0.0002192245,0.0001149372,0.0008939893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009059645,"about_ca_system_score_gemma":0.000003009483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001388458,"about_ca_topic_score_gemma":3.711033e-7,"domain_scores_codex":[0.9990999,0.00005761884,0.0001701953,0.0002360781,0.0001777078,0.000258472],"domain_scores_gemma":[0.9993149,0.00001207281,0.00002621182,0.0002532507,0.0003331368,0.00006040731],"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":[0.00003249184,0.00007841239,0.000001674415,0.0002904819,0.00008866157,0.00001544394,0.0006017868,0.01233612,0.001266017,0.008687014,0.8742589,0.102343],"study_design_scores_gemma":[0.0003695781,0.00004778732,0.0000639973,0.0000184258,0.0000166014,0.00001124952,0.0001681268,0.05459618,0.000594402,0.00004953895,0.9439234,0.0001407843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003570021,0.0002619899,0.6062412,0.001471398,0.0004585719,0.00131487,0.0003566191,0.004615676,0.3817096],"genre_scores_gemma":[0.9378097,0.0008601358,0.01629649,0.000929949,0.0009008902,9.274452e-7,0.01743975,0.006983778,0.01877836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9342397,"threshold_uncertainty_score":0.9998839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02744671970407127,"score_gpt":0.233144584491262,"score_spread":0.2056978647871907,"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."}}