{"id":"W7095511311","doi":"","title":"of Canada. Contents","year":2008,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005378636,0.001075433,0.001149564,0.00246196,0.003670202,0.006777919,0.002072712,0.001909181,0.830422],"category_scores_gemma":[0.002313373,0.000558792,0.0004770285,0.005862328,0.0008329941,0.002258262,0.001835959,0.001397737,0.6243433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01291528,"about_ca_system_score_gemma":0.02062875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4543505,"about_ca_topic_score_gemma":0.5713739,"domain_scores_codex":[0.9991778,0.00004327836,0.0000299425,0.0001840651,0.0004356938,0.0001293301],"domain_scores_gemma":[0.9981024,0.0001736771,0.00007456159,0.0001932118,0.001179956,0.0002761887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004689031,0.00001947814,0.0003095776,0.0002261769,0.000006902057,0.00006873925,0.00007814289,0.0001128687,0.0002550283,0.008607039,0.9358763,0.05439292],"study_design_scores_gemma":[0.000003187201,0.000002059893,0.0003272591,0.00007416288,0.000001830582,0.00001792131,0.00007701407,0.0000353963,0.00007803054,0.0006311737,0.9987477,0.000004155598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004957707,0.003083146,0.0007870496,0.003878942,0.001579792,0.0001191908,0.05307673,0.001220268,0.9357591],"genre_scores_gemma":[0.002751876,0.002504792,0.0008442711,0.00051319,0.0001165495,0.00003548851,0.01423369,0.0005315981,0.9784686],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4543505,"threshold_uncertainty_score":0.9034117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096886431464457,"score_gpt":0.3312551783297922,"score_spread":0.2215665351833465,"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."}}