{"id":"W3016050002","doi":"10.5210/fm.v28i4.13163","title":"Classifying constructive comments","year":2023,"lang":"en","type":"article","venue":"First Monday","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Computer science; Constructive; Annotation; Adaptation (eye); Feature (linguistics); Natural language processing; Artificial intelligence; Domain adaptation; Quality (philosophy); Linguistics; Classifier (UML); Biology; Programming language","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":[0.0001460281,0.00008643969,0.00008720956,0.0001202228,0.0002709015,0.0001098381,0.0005298292,0.00004911647,0.0000287725],"category_scores_gemma":[0.00004855974,0.00008346991,0.00004272219,0.0006463144,0.00003217232,0.0002584154,0.0002935637,0.0001132365,0.001449077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003923297,"about_ca_system_score_gemma":0.00002131193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002465474,"about_ca_topic_score_gemma":0.000001815554,"domain_scores_codex":[0.9991695,0.00002738939,0.0001127127,0.0002440974,0.0001862734,0.0002599747],"domain_scores_gemma":[0.9993508,0.0000603696,0.00004200512,0.0004406511,0.00003234501,0.00007378507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003879431,0.0001788095,0.02526327,0.0001272929,0.0002404492,0.0006252497,0.06173801,0.0008711632,0.006843954,0.03385046,0.3783414,0.4918811],"study_design_scores_gemma":[0.0006192068,0.0001002406,0.01739579,0.00005050219,0.000005581749,0.00004375325,0.0001216138,0.04460424,0.01061189,0.006234943,0.9198746,0.0003376003],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8331547,0.00006305104,0.1343353,0.009920549,0.004254632,0.00038148,0.00001355867,0.00320875,0.01466807],"genre_scores_gemma":[0.9932111,0.00001638667,0.005324828,0.0002193109,0.00005913138,0.00001858814,0.000004662222,0.000008199521,0.001137789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5415332,"threshold_uncertainty_score":0.9993284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645161755485146,"score_gpt":0.2291018135719508,"score_spread":0.2126501960170994,"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."}}