{"id":"W7001028659","doi":"","title":"Hci in business, government and organizations interacting with information systems: 4th international conference, HCIBGO 2017, held as part of HCI international 2017, Vancouver, BC, Canada, July 9-14, 2017, proceedings, part I","year":2017,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Information system; Work (physics); Field (mathematics); Key (lock); E-Government","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008018693,0.001657155,0.00136961,0.003839646,0.00346979,0.01525454,0.001519677,0.004243092,0.06225168],"category_scores_gemma":[0.004960668,0.0008696806,0.0006298327,0.005209862,0.004581611,0.008583043,0.008178765,0.004165255,0.01693903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003607198,"about_ca_system_score_gemma":0.008750445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026019,"about_ca_topic_score_gemma":0.04677333,"domain_scores_codex":[0.9965498,0.001405205,0.0001616153,0.0004652749,0.000915354,0.0005027622],"domain_scores_gemma":[0.9934376,0.00239997,0.0001357974,0.0005956322,0.001505488,0.00192547],"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":[0.0001596452,0.000210145,0.002125094,0.001583813,0.00004177681,0.0001427896,0.0106881,0.0002063367,0.003082958,0.01395647,0.6194207,0.3483823],"study_design_scores_gemma":[0.00003301682,0.00007438115,0.006655628,0.001617081,0.00003710047,0.0002570775,0.00840814,0.0005588933,0.001246429,0.01038929,0.9706777,0.00004533656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0294883,0.3962707,0.0642155,0.078745,0.02513525,0.001075025,0.004038491,0.01058411,0.3904477],"genre_scores_gemma":[0.1175919,0.155982,0.03793448,0.009357609,0.009737117,0.00173371,0.01133622,0.004655726,0.6516714],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9797398,"threshold_uncertainty_score":0.2082527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978212930276911,"score_gpt":0.2543284693664415,"score_spread":0.2345463400636724,"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."}}