{"id":"W2086071123","doi":"10.1016/j.intcom.2004.06.006","title":"Adventurers versus nit-pickers on affective computing","year":2004,"lang":"en","type":"article","venue":"Interacting with Computers","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Skepticism; Adventure; Affect (linguistics); Computer science; Position paper; Psychology; Position (finance); Social psychology; Cognitive science; Cognitive psychology; Epistemology; Artificial intelligence; World Wide Web; Communication; Philosophy; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0001038895,0.0002083954,0.0001734434,0.0001764326,0.0001512099,0.00005407855,0.000125981,0.00007569858,0.00009784003],"category_scores_gemma":[0.00008181187,0.0001840892,0.00008928472,0.0001743836,0.00005592839,0.0001090978,0.00003369338,0.000433036,0.0005074526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000200713,"about_ca_system_score_gemma":0.00002514577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001431155,"about_ca_topic_score_gemma":0.00004181767,"domain_scores_codex":[0.9987999,0.0001030248,0.0001896961,0.0004095093,0.0001758513,0.00032207],"domain_scores_gemma":[0.9985152,0.0009266374,0.0001844369,0.0002027833,0.00006978671,0.0001011067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01306985,0.002537592,0.004295863,0.00009787169,0.002901808,0.001207455,0.07283884,0.05496042,0.0006020056,0.01410502,0.01756829,0.815815],"study_design_scores_gemma":[0.2575704,0.07692974,0.3362227,0.03627116,0.00147274,0.004480982,0.1820762,0.01192935,0.01750193,0.002457611,0.06069998,0.01238725],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156206,0.00001121651,0.02585937,0.0006308329,0.01736412,0.0003011871,0.00000239359,0.0003083784,0.0399019],"genre_scores_gemma":[0.9952978,4.394944e-7,0.003366863,0.0008653836,0.0003150246,0.000007668312,0.00001844698,0.00003339274,0.00009490747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8034278,"threshold_uncertainty_score":0.750694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0252796510534891,"score_gpt":0.3254557088936434,"score_spread":0.3001760578401543,"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."}}