{"id":"W4416946212","doi":"10.55104/frdc_0982","title":"«Ubi lex non distinguit, nec nos distinguere debemus»","year":2025,"lang":"","type":"book-chapter","venue":"","topic":"Hume's philosophy and hair distribution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Context (archaeology); Component (thermodynamics)","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":[0.001884948,0.0007883809,0.0005974948,0.001830801,0.007826813,0.01481015,0.001216976,0.003235432,0.03493216],"category_scores_gemma":[0.004660827,0.0004836939,0.0003908264,0.001616361,0.008789867,0.008260336,0.004888047,0.006888066,0.01517098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005433443,"about_ca_system_score_gemma":0.004157531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374809,"about_ca_topic_score_gemma":0.02159798,"domain_scores_codex":[0.9971051,0.0009006799,0.0001574273,0.0005645849,0.0008763639,0.0003958865],"domain_scores_gemma":[0.9976072,0.0008567097,0.0001923958,0.0004879239,0.0006874382,0.0001683093],"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":[0.0000439277,0.00002054335,0.000783265,0.0001243681,0.000006756025,0.0001293081,0.01656915,0.00003108791,0.0006621247,0.8964654,0.06222523,0.02293893],"study_design_scores_gemma":[0.000004797714,0.00001559514,0.0009077902,0.000205719,0.00000759621,0.0002062456,0.007043251,0.0001006185,0.0008761389,0.0482276,0.9423857,0.00001891753],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006518967,0.00369275,0.004292064,0.01050447,0.001755576,0.0000397749,0.0002535221,0.000281349,0.9726615],"genre_scores_gemma":[0.2344797,0.002472744,0.004692414,0.01346975,0.00115294,0.0002245462,0.0006740528,0.0007604662,0.7420734],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03493216,"threshold_uncertainty_score":0.1168597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178251068663057,"score_gpt":0.2956441854696568,"score_spread":0.2638616747830262,"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."}}