{"id":"W7070652118","doi":"","title":"The principle of the free evaluation of evidence","year":2025,"lang":"en","type":"article","venue":"Scientific periodicals of Ukraine","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Scope (computer science); Conviction; Element (criminal law); Criminal law; Criminal procedure; Interpretation (philosophy); Value (mathematics); Enforcement","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01327194,0.00005843035,0.0001486985,0.00005255801,0.001006442,0.00008260515,0.001370648,0.00004708333,0.0001660199],"category_scores_gemma":[0.01832005,0.00003046761,0.0001241643,0.000926983,0.004586874,0.0001378502,0.0002757729,0.00007478085,0.000002711826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005106663,"about_ca_system_score_gemma":0.001371524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006314676,"about_ca_topic_score_gemma":0.002256152,"domain_scores_codex":[0.996939,0.0004963773,0.0004157331,0.0001974412,0.001760824,0.0001906331],"domain_scores_gemma":[0.9971744,0.0007050969,0.0002611738,0.0007895343,0.001029598,0.00004015315],"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":[0.0001890019,0.0004338266,0.01419153,0.000518714,0.0001004161,5.061721e-7,0.03957743,0.0002848473,0.1571348,0.6502442,0.03650122,0.1008235],"study_design_scores_gemma":[0.0006322304,0.00009072649,0.0771364,0.002090163,0.0003235418,5.126009e-7,0.005777188,0.001398033,0.06224444,0.03878262,0.8113163,0.0002078922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717681,0.003167849,0.00003017765,0.01623113,0.001091531,0.0004520282,0.00001510983,0.000008739711,0.00723528],"genre_scores_gemma":[0.9961317,0.00008985689,0.00007075224,0.00002551805,0.00002292165,0.00001189066,4.157078e-7,0.000001684864,0.003645311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.774815,"threshold_uncertainty_score":0.9981221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2030428212577023,"score_gpt":0.4606683106842615,"score_spread":0.2576254894265592,"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."}}