{"id":"W4316664928","doi":"10.21203/rs.3.rs-2428155/v1","title":"EmoAtlas: An emotional profiling tool merging psychological lexicons, artificial intelligence and network science","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Profiling (computer programming); Emotional intelligence; Psychological science; Artificial intelligence; Computer science; Psychology; Data science; Cognitive science; Social psychology","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":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008754552,0.0003562429,0.0004650498,0.001139991,0.001235828,0.001638393,0.0037539,0.0003217687,0.00002064187],"category_scores_gemma":[0.001462484,0.0003328093,0.0001362632,0.003548068,0.001464842,0.0009967997,0.007492807,0.002330287,0.00007089243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003100378,"about_ca_system_score_gemma":0.0005605695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004658349,"about_ca_topic_score_gemma":0.00003444405,"domain_scores_codex":[0.9923305,0.0006426712,0.0006741482,0.002451641,0.002498745,0.001402329],"domain_scores_gemma":[0.9958542,0.0006121216,0.0001853087,0.001913985,0.001074322,0.0003600429],"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":[0.00003028167,0.0002770024,0.002546057,0.0002179327,0.00003648951,0.0001602436,0.0005303785,0.02486878,0.001915697,0.6768776,0.0002681724,0.2922713],"study_design_scores_gemma":[0.0000238246,0.0002247095,0.002998432,0.0004556654,0.000004844149,0.00001461112,0.0001748463,0.3191208,0.00272901,0.6737493,0.00007469011,0.0004293054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0675477,0.0002899283,0.9281878,0.001169156,0.000375941,0.0009676671,0.00001141915,0.001150823,0.0002995307],"genre_scores_gemma":[0.6927204,0.0003364958,0.3060049,0.00004140928,0.0005539198,0.0002077338,0.00002958298,0.00003177668,0.00007372402],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6251727,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2366909447409534,"score_gpt":0.4969081532545717,"score_spread":0.2602172085136182,"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."}}