{"id":"W4239812362","doi":"10.1109/iucc/dsci/smartcns.2019.00029","title":"Steering Committee","year":2019,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.03772425,0.001660572,0.001748754,0.004438761,0.00321374,0.008529256,0.003994087,0.006786255,0.3749606],"category_scores_gemma":[0.06728003,0.001004183,0.002358904,0.001900489,0.001051619,0.003036267,0.006654161,0.005329682,0.3167417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003854869,"about_ca_system_score_gemma":0.01912122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003240501,"about_ca_topic_score_gemma":0.006503943,"domain_scores_codex":[0.9837629,0.00543397,0.001558277,0.001657877,0.005534813,0.002052138],"domain_scores_gemma":[0.9214416,0.00651471,0.00399405,0.004759979,0.04697407,0.01631558],"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":[0.000136328,0.00002497014,0.0001388358,0.0002914022,0.00001299176,0.00001792721,0.0000242477,0.00004146969,0.000160224,0.0005966703,0.9744075,0.02414742],"study_design_scores_gemma":[0.0001263745,0.00003803696,0.0003894755,0.000423328,0.00001733377,0.00003407369,0.00005521109,0.00007607941,0.0001765446,0.0009576885,0.9976942,0.00001158823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003218595,0.01464237,0.02545207,0.2271352,0.2305693,0.02604681,0.05861241,0.004628637,0.4096945],"genre_scores_gemma":[0.007198485,0.006005509,0.0115956,0.06355578,0.03895713,0.02451487,0.03956058,0.002558708,0.8060534],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3749606,"threshold_uncertainty_score":0.8915429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348674499771383,"score_gpt":0.1814514207675424,"score_spread":0.1479646757698285,"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."}}