{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002201359,0.001333406,0.0006975211,0.001306026,0.001088071,0.003071646,0.001517428,0.0009606758,0.507925],"category_scores_gemma":[0.004830583,0.0004825681,0.0005581399,0.001174061,0.0004390723,0.003029161,0.002876522,0.001470235,0.3885596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353777,"about_ca_system_score_gemma":0.002081937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003892906,"about_ca_topic_score_gemma":0.00467734,"domain_scores_codex":[0.9987193,0.0002521496,0.00005512243,0.0003539978,0.0004308083,0.0001885551],"domain_scores_gemma":[0.9972523,0.0003953906,0.00006517791,0.0005597592,0.001184787,0.0005426737],"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":[0.0003152186,0.00004742453,0.0001458152,0.000146641,0.0000118375,0.00005675897,0.0001205572,0.0002638368,0.003577935,0.01572139,0.8144644,0.1651281],"study_design_scores_gemma":[0.0000625809,0.00003409156,0.0001595477,0.00004103631,0.000007372352,0.00008258757,0.00006995967,0.001877332,0.001530125,0.004551238,0.9915748,0.000009311592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003873778,0.00184873,0.1379848,0.01068574,0.00827979,0.0006537481,0.02814011,0.07672983,0.7318034],"genre_scores_gemma":[0.02961332,0.001567813,0.07866625,0.001606069,0.00153818,0.0007002237,0.03988086,0.01513944,0.8312877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.507925,"threshold_uncertainty_score":0.7018852,"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."}}