{"id":"W2229862379","doi":"","title":"LR-based forensic comparison under severe test-data scarcity","year":2014,"lang":"en","type":"article","venue":"ANU Open Research (Australian National University)","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Test (biology); Scarcity; Forensic science; Computer security; Data science; Biology; History; Economics; Archaeology; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.001868452,0.0001532787,0.0002037835,0.0005635094,0.0004040715,0.0008127606,0.005124877,0.0001073881,0.00006397565],"category_scores_gemma":[0.0009338896,0.0001684773,0.00004923371,0.002121162,0.000335497,0.003123245,0.002285541,0.0004491477,0.0003432886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004091049,"about_ca_system_score_gemma":0.0006529397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005060508,"about_ca_topic_score_gemma":0.0004856752,"domain_scores_codex":[0.9966037,0.0003362601,0.0001877214,0.0007733256,0.001577573,0.0005214805],"domain_scores_gemma":[0.9964726,0.00112293,0.00008891922,0.000994298,0.001017336,0.0003039417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001330205,0.000742745,0.01042618,0.00004789114,0.00008747604,0.00008080946,0.0001118665,0.0020358,0.0002691989,0.5580058,0.3776364,0.05042289],"study_design_scores_gemma":[0.004621611,0.001198244,0.04319772,0.000179953,0.00002395187,0.00004214155,0.0005134526,0.1839864,0.005876259,0.09920212,0.6600505,0.001107645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1171321,0.00001134043,0.1792295,0.05802324,0.001513631,0.003868068,0.000602781,0.0007550842,0.6388642],"genre_scores_gemma":[0.9711857,0.000001094985,0.01120842,0.0001854999,0.00008187423,0.000002065953,0.0001476173,0.00001074463,0.01717701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8540536,"threshold_uncertainty_score":0.9523381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2649914885875002,"score_gpt":0.3896173295830931,"score_spread":0.1246258409955929,"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."}}