{"id":"W6931844665","doi":"10.5683/sp3/tlsihc","title":"Enquête sur le service téléphonique résidentiel, décembre 2004 [Canada]","year":2005,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Population; Ile de france; Statistical analysis; Service (business)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006119676,0.0006968776,0.0008451799,0.00008107754,0.001232395,0.00026284,0.001562084,0.001233349,0.001103551],"category_scores_gemma":[0.0001595431,0.0007849205,0.0003100593,0.001020074,0.000457921,0.0004848015,0.0002972551,0.0009741076,0.0002517974],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027134,"about_ca_system_score_gemma":0.01028877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999136,"about_ca_topic_score_gemma":0.9997487,"domain_scores_codex":[0.9952534,0.0005587381,0.0007514704,0.000833907,0.001271463,0.001330966],"domain_scores_gemma":[0.9972064,0.0003562502,0.0005394313,0.0007788269,0.0004664086,0.0006526384],"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":[0.00002755731,0.0001615372,0.00002158889,0.0001189647,0.0001284007,0.000120189,0.001904938,0.00005710735,0.000001531504,0.001653065,0.9919109,0.00389416],"study_design_scores_gemma":[0.0004050352,0.00004059227,0.0007931787,0.000198643,0.0001614812,0.000009060536,0.00201942,0.00003540516,0.00001634321,0.0007949024,0.9946342,0.0008918107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005487757,0.01007429,0.000006068026,0.02186315,0.002638524,0.0006609487,0.9450895,0.00009730922,0.01902141],"genre_scores_gemma":[0.0006335657,0.006717988,0.00005204886,0.01207415,0.009079994,0.0001101978,0.9538935,0.00008379275,0.01735479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009788996,"threshold_uncertainty_score":0.9998096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832838591242503,"score_gpt":0.249565546325615,"score_spread":0.23123716041319,"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."}}