{"id":"W7068845957","doi":"","title":"Ana Monteiro","year":2019,"lang":"en","type":"article","venue":"Scholarly Commons (Embry–Riddle Aeronautical University)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Construct (python library); Test (biology); Applied linguistics; Discourse analysis; Multiculturalism; Intercultural communication","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":[0.001408997,0.0006786398,0.0004869208,0.001346259,0.0020229,0.003795146,0.0009623693,0.001369901,0.07735115],"category_scores_gemma":[0.007243499,0.0002908272,0.0003880892,0.0007017637,0.000778478,0.001652701,0.001331371,0.001757491,0.02218069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002709461,"about_ca_system_score_gemma":0.006499738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02022208,"about_ca_topic_score_gemma":0.02843272,"domain_scores_codex":[0.9982201,0.0002378856,0.00005754566,0.0004165714,0.0008473605,0.0002204623],"domain_scores_gemma":[0.9964734,0.0007020495,0.0002539027,0.000168537,0.001739516,0.0006626257],"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":[0.0002085399,0.0001121242,0.003113176,0.0007576367,0.00002444984,0.0008826133,0.001216155,0.0005697439,0.002083015,0.04739128,0.6325232,0.311118],"study_design_scores_gemma":[0.000003641757,0.00001302478,0.0008901936,0.0001892142,0.000007049046,0.0003492684,0.0004045517,0.0001754563,0.0004093347,0.001762683,0.9957834,0.00001222026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01645634,0.06729329,0.01041743,0.105094,0.01809859,0.0002045024,0.001977682,0.001639189,0.778819],"genre_scores_gemma":[0.1515955,0.04946921,0.006014883,0.01447408,0.002398239,0.0001649572,0.0009041088,0.0005728316,0.7744062],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07735115,"threshold_uncertainty_score":0.2587654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09443393683796537,"score_gpt":0.3001835810239464,"score_spread":0.205749644185981,"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."}}