{"id":"W2480167474","doi":"10.1515/9783598441677.0.11","title":"ADDRESS OF WELCOME","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000528212,0.0007187264,0.0006590164,0.001108396,0.002653854,0.003221824,0.0009927262,0.003067513,0.6454632],"category_scores_gemma":[0.002808674,0.0002939471,0.0004615785,0.0005292174,0.0004890945,0.002523274,0.003193342,0.003155211,0.5093023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008722566,"about_ca_system_score_gemma":0.0009901319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503127,"about_ca_topic_score_gemma":0.007243396,"domain_scores_codex":[0.999639,0.00005566514,0.00001086338,0.00007009519,0.0001536423,0.00007074083],"domain_scores_gemma":[0.9991154,0.0001626828,0.00002841765,0.00005644334,0.0002962565,0.0003407928],"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":[0.00001934517,0.00002196412,0.00005626542,0.00003672006,0.000001074248,0.00007352088,0.0001000651,0.00001740334,0.0001674973,0.006178189,0.9477879,0.04554005],"study_design_scores_gemma":[0.000003089237,0.000007318973,0.00009343338,0.00003388777,7.157441e-7,0.00003233304,0.00007612629,0.00001987699,0.00003205735,0.0009558558,0.9987432,0.00000219001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006669755,0.001579674,0.0007207647,0.01535736,0.02129616,0.0001214307,0.0004961634,0.0003516085,0.9594099],"genre_scores_gemma":[0.0004085296,0.0001250515,0.00006467962,0.0009579206,0.0004957925,0.00001518406,0.00004986114,0.00005080428,0.9978322],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3545368,"threshold_uncertainty_score":0.5057037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03855184979354757,"score_gpt":0.3057997732408274,"score_spread":0.2672479234472798,"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."}}