{"id":"W3023942231","doi":"10.1075/ml.20004.nis","title":"Clozapp","year":2019,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep André Laurendeau","funders":"","keywords":"Computer science; Data collection; Replication (statistics); Predictability; Information retrieval; Java; Natural language processing; Artificial intelligence; Programming language; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002939794,0.001799391,0.001264575,0.004303583,0.001073633,0.00344276,0.002286199,0.001325096,0.1211558],"category_scores_gemma":[0.02198754,0.00114273,0.0008656308,0.002580665,0.0007237393,0.003430494,0.003598749,0.001450015,0.06331585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005944986,"about_ca_system_score_gemma":0.001912724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002755373,"about_ca_topic_score_gemma":0.005191474,"domain_scores_codex":[0.996563,0.0007972309,0.0003912093,0.0007412451,0.001303045,0.000204291],"domain_scores_gemma":[0.9797536,0.009674103,0.001002786,0.003746354,0.005235662,0.0005873986],"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":[0.001659936,0.0003251775,0.003271622,0.003042933,0.00007849344,0.0008826008,0.001715723,0.0004079933,0.02075778,0.007045128,0.3178031,0.6430094],"study_design_scores_gemma":[0.0003293362,0.0004120943,0.01147483,0.001178572,0.00009774418,0.002133507,0.0006134679,0.004262377,0.02628084,0.01408298,0.9388429,0.0002914525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.02715949,0.003565699,0.3012334,0.001786353,0.000994883,0.007713457,0.05006565,0.4098894,0.1975917],"genre_scores_gemma":[0.1358738,0.002633952,0.4934367,0.003561712,0.0004498402,0.01291749,0.05472089,0.07130907,0.2250966],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1211558,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007162570725038875,"score_gpt":0.2528083073504823,"score_spread":0.2456457366254435,"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."}}