{"id":"W1561659932","doi":"","title":"Describing Dishonest Means: The Implications of Seeing 'Dishonesty' as a Course of Conduct or Mental Element and the Parallels with Indecency","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal principles and applications","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mens rea; Dishonesty; Element (criminal law); Supreme court; Law; Parallels; Mental state; Political science; Exposition (narrative); Psychology; Criminal law; Engineering; Literature","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007318474,0.0006981731,0.0006736687,0.002560389,0.006969843,0.009463329,0.002209663,0.00588434,0.002262783],"category_scores_gemma":[0.01227047,0.0004513911,0.0005571003,0.002164048,0.1009994,0.01043255,0.008139443,0.01085687,0.0002638562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01229384,"about_ca_system_score_gemma":0.008242468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05080852,"about_ca_topic_score_gemma":0.05512876,"domain_scores_codex":[0.9880335,0.006578066,0.0002945728,0.0006419413,0.003235951,0.001215936],"domain_scores_gemma":[0.9889204,0.007823201,0.001235793,0.0007320408,0.0008221456,0.0004663554],"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":[0.000002173055,0.00000392628,0.0002111769,0.00001434024,0.000001835557,0.00008165855,0.009602034,0.00009142577,0.00003640434,0.9884759,0.0003836944,0.001095505],"study_design_scores_gemma":[0.000005370552,0.00001952889,0.002637526,0.0001902931,0.000008132774,0.0002592593,0.01170009,0.000658302,0.0001869096,0.9520169,0.03228436,0.00003331643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1452322,0.01124626,0.0447073,0.1060005,0.0006570604,0.0001035003,0.0001143302,0.00003448932,0.6919043],"genre_scores_gemma":[0.9789268,0.001774616,0.002710044,0.004296967,0.0001809695,0.00005429925,0.0000156691,0.00002284949,0.01201769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05080852,"threshold_uncertainty_score":0.1010256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939773069696088,"score_gpt":0.3203511789294084,"score_spread":0.2909534482324475,"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."}}