{"id":"W4285509142","doi":"10.1515/9781474473880","title":"Technology, Innovation and Access to Justice","year":2021,"lang":"en","type":"book","venue":"Edinburgh University Press eBooks","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic Justice; Business; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003323441,0.0001907481,0.0002586387,0.0005339296,0.0007987797,0.0002113296,0.0008499664,0.0006618515,0.0001710515],"category_scores_gemma":[0.0003448403,0.0002539407,0.00004031462,0.0002339456,0.0008479545,0.0002577287,0.0008495082,0.0004609053,0.000004699726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004138961,"about_ca_system_score_gemma":0.0007758439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008708872,"about_ca_topic_score_gemma":0.000666506,"domain_scores_codex":[0.9985629,0.0000563603,0.0001891712,0.0004829251,0.0003844491,0.0003241708],"domain_scores_gemma":[0.9985595,0.0001639643,0.0001695474,0.0002996962,0.0006795289,0.0001277812],"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":[0.00001496901,0.000007923191,0.000009803408,0.00001859234,0.00003127028,0.00006920252,0.00221568,0.000004691391,0.0000288253,0.7927725,0.1951438,0.009682728],"study_design_scores_gemma":[0.00004002151,0.00001836684,0.000001082907,0.0001373305,0.0001237105,9.410049e-7,0.00244861,0.000003863422,0.0004329692,0.007279416,0.9892495,0.0002642105],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004769126,0.0000599422,0.0009107337,0.0008940694,0.001052378,0.0004759454,0.00002516027,0.0002048603,0.9959],"genre_scores_gemma":[0.001055507,0.00008934648,0.0002757832,0.0002443197,0.0007241865,0.000002042795,0.00001224636,0.00001602198,0.9975805],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7941056,"threshold_uncertainty_score":0.9999913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0829839941053173,"score_gpt":0.3328433114235645,"score_spread":0.2498593173182472,"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."}}