{"id":"W4240263563","doi":"10.1023/a:1019674531563","title":"The inverted beta loss function : properties and applications","year":2002,"lang":"en","type":"article","venue":"IIE Transactions","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Ranging; Mathematics; Transformation (genetics); BETA (programming language); Probability density function; Class (philosophy); Applied mathematics; Statistics; Pure mathematics; Computer science; Artificial intelligence; Telecommunications","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":[0.006480847,0.001297134,0.00115517,0.001965713,0.000548128,0.003155138,0.001419711,0.001697547,0.002233805],"category_scores_gemma":[0.03237519,0.0004922309,0.0007462811,0.002435551,0.002248296,0.004284697,0.001994926,0.003072437,0.001023077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009426165,"about_ca_system_score_gemma":0.001216433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001487721,"about_ca_topic_score_gemma":0.0006841214,"domain_scores_codex":[0.9983235,0.0007083194,0.00007744719,0.0002016292,0.0005620152,0.0001270881],"domain_scores_gemma":[0.9858215,0.009543398,0.001193479,0.001032425,0.00199219,0.0004169428],"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":[0.0001802082,0.0001255154,0.004954884,0.0002415192,0.00009648355,0.000291966,0.0002164776,0.1712945,0.002670639,0.5534238,0.008879366,0.2576246],"study_design_scores_gemma":[0.00002245792,0.0001058329,0.001266387,0.00007969439,0.00004217862,0.0004951616,0.00005908197,0.5684758,0.001074276,0.4224679,0.005870922,0.00004035805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01147472,0.002581115,0.9795011,0.0008695422,0.00009338622,0.00001876142,0.0000791643,0.0001186003,0.005263667],"genre_scores_gemma":[0.5858181,0.01336089,0.3796127,0.0007514226,0.001415293,0.0002717309,0.0006195797,0.0004055645,0.01774485],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006480847,"threshold_uncertainty_score":0.0342744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1246385277161961,"score_gpt":0.2912623500089965,"score_spread":0.1666238222928004,"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."}}