{"id":"W4391855196","doi":"10.1075/is.22054.nic","title":"Texting!!!","year":2023,"lang":"en","type":"article","venue":"Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems","topic":"Digital Communication and Language","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00043923,0.0000914389,0.0001804526,0.0000923363,0.0004121275,0.0002003749,0.0002784208,0.00006567878,0.000003648091],"category_scores_gemma":[0.00007273627,0.00007278566,0.00002888157,0.0003338797,0.0001452879,0.0002477198,0.0005380841,0.000152325,0.00003123503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002507882,"about_ca_system_score_gemma":0.00000439087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001077946,"about_ca_topic_score_gemma":0.0000549666,"domain_scores_codex":[0.9990206,0.0002581401,0.000315117,0.0001854029,0.00008221737,0.0001384683],"domain_scores_gemma":[0.9993011,0.0002878149,0.0001016109,0.0002145228,0.00006213322,0.00003282284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004722384,0.0003060353,0.07720611,0.00003766877,0.00006805511,0.00001289232,0.02466882,0.0000198468,0.001331518,0.7413539,0.001436268,0.1535117],"study_design_scores_gemma":[0.0008938145,0.0003437999,0.7177184,0.0003106636,0.00002164154,0.00006799761,0.178901,0.00812929,0.0002003302,0.0295225,0.06274005,0.001150555],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886338,0.001893817,0.0001256404,0.003771923,0.0001676793,0.000171382,0.00000364596,0.0001868727,0.005045308],"genre_scores_gemma":[0.9985378,0.001120464,0.00004669308,0.00008153315,0.00002250793,0.00006751403,0.00001069031,0.000002825594,0.0001099999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7118314,"threshold_uncertainty_score":0.3169793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2072951155426703,"score_gpt":0.3944804427993467,"score_spread":0.1871853272566764,"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."}}