{"id":"W2128924749","doi":"10.6000/1929-4409.2014.03.34","title":"An Evidence Based Study of the Different Factors that Influence the Formation of Hammer Transfer Stains in a Crime Scene","year":2014,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hammer; Stain; Transfer (computing); Shaker; Schmidt hammer; Forensic engineering; Materials science; Computer science; Staining; Structural engineering; Acoustics; Composite material; Engineering; Physics; Medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005967304,0.00008986789,0.0002523933,0.00009775064,0.00005363757,0.00001350857,0.00052158,0.00009604866,0.00004446904],"category_scores_gemma":[0.0002319596,0.00004634862,0.00005029606,0.0000113349,0.0003946542,0.0003013466,0.00003317168,0.0001552107,4.126538e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003470441,"about_ca_system_score_gemma":0.00005377802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000175384,"about_ca_topic_score_gemma":0.00004274405,"domain_scores_codex":[0.9984668,0.0006726665,0.0004390667,0.00008236101,0.000217768,0.0001212613],"domain_scores_gemma":[0.9989222,0.00040457,0.0002765819,0.0001213805,0.0002471161,0.00002814563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003949,0.0003744843,0.2137078,0.00001753307,0.00002168393,0.000002680418,0.02032728,0.0001913271,0.7614784,0.003123216,0.000002819179,0.0003579002],"study_design_scores_gemma":[0.0006969037,0.0006714118,0.8413572,0.00004358938,0.00003939439,0.00001066634,0.001441853,0.00005220328,0.1544805,0.001158324,0.00000413073,0.00004378579],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981065,0.00003143616,0.0006110138,0.0006268431,0.0004902361,0.0001216546,0.00000744776,0.000002626797,0.00000222748],"genre_scores_gemma":[0.999772,0.00001469756,0.00001978221,0.0001607711,0.00002407275,0.00000330339,7.486417e-7,0.000003274849,0.000001371305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6276495,"threshold_uncertainty_score":0.1890042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09965844088867895,"score_gpt":0.3541110549397239,"score_spread":0.254452614051045,"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."}}