{"id":"W3206170720","doi":"10.3390/books978-3-03928-665-2","title":"Claim Models","year":2020,"lang":"en","type":"book","venue":"","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Artificial neural network; Boosting (machine learning); Construct (python library)","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":[0.002099077,0.001383773,0.001415712,0.002034355,0.001236021,0.004784205,0.004316553,0.003640956,0.07454818],"category_scores_gemma":[0.007513873,0.000551066,0.001801922,0.002187458,0.001312148,0.004613115,0.002188364,0.003055264,0.01645529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002095244,"about_ca_system_score_gemma":0.001410557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005550775,"about_ca_topic_score_gemma":0.003774492,"domain_scores_codex":[0.9986058,0.0003143275,0.000128246,0.000303104,0.0004318741,0.0002167372],"domain_scores_gemma":[0.9974099,0.001259367,0.0003262577,0.0003607038,0.0004734132,0.0001703689],"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":[0.00006522345,0.0000985337,0.001222263,0.0001395829,0.00004287211,0.0003009515,0.0001204775,0.0620978,0.0001591945,0.8494421,0.055763,0.03054804],"study_design_scores_gemma":[0.00004192369,0.00004323176,0.00064684,0.0001192321,0.00003774015,0.0003993257,0.0001143942,0.3030566,0.0001183088,0.6083514,0.08703614,0.00003493255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02841909,0.009805048,0.4315651,0.01763735,0.002466737,0.0004387895,0.01699755,0.001946647,0.4907237],"genre_scores_gemma":[0.4799286,0.009321244,0.05782208,0.001969648,0.001887982,0.0007523581,0.01214864,0.0006422728,0.4355273],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07454818,"threshold_uncertainty_score":0.2493885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4267274205745191,"score_gpt":0.3984152283939232,"score_spread":0.02831219218059594,"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."}}