{"id":"W2902425499","doi":"","title":"Exploring Synergies between Visual Analytical Flow and Language Pragmatics.","year":2017,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Pragmatics; Computer science; Linguistics; Natural language processing; Philosophy","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":[],"category_scores_codex":[0.0005279972,0.000167052,0.000212317,0.0001530395,0.0003911169,0.000315435,0.0002832332,0.00009770384,0.001196594],"category_scores_gemma":[0.0008959866,0.0001542816,0.00005532603,0.0000774359,0.0002593638,0.0003305813,0.00006894777,0.0002502553,0.0007300282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003252984,"about_ca_system_score_gemma":0.00005931422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000133813,"about_ca_topic_score_gemma":0.00007999281,"domain_scores_codex":[0.9984762,0.0000997063,0.0003298533,0.0003721484,0.0004706716,0.0002514259],"domain_scores_gemma":[0.9988966,0.0003053199,0.0001552701,0.0002541702,0.0002808025,0.0001078322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006628195,0.0001110529,0.0004451904,0.00001062389,0.00005961395,0.00002241659,0.003433851,0.00001217768,0.0002806753,0.6101902,0.00005646252,0.3853115],"study_design_scores_gemma":[0.0006092614,0.001315002,0.2663945,0.0005378392,0.0003517218,0.00004417935,0.05595764,0.100551,0.05521702,0.5157383,0.0009038117,0.002379692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9048936,0.00005283046,0.0150074,0.001158861,0.0006091608,0.0002145529,0.00006537093,0.0000887213,0.07790953],"genre_scores_gemma":[0.9984174,0.00002241598,0.0003528466,0.0001275404,0.0005014681,0.00005259021,0.0000326209,0.00001369053,0.00047943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3829318,"threshold_uncertainty_score":0.9997165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2906613784778585,"score_gpt":0.429665654346898,"score_spread":0.1390042758690395,"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."}}