{"id":"W6926425860","doi":"10.25318/2210000701-fra","title":"Accès d'un ménage à Internet au domicile, selon le quartile de revenu du ménage et la géographie, inactif","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Quartile; Context (archaeology); Unemployment","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":[0.001388196,0.0006031073,0.0007605858,0.0006525941,0.0003171441,0.0006137926,0.001904072,0.0004030185,0.0004042721],"category_scores_gemma":[0.001960272,0.0006223229,0.0001335359,0.002491037,0.0003212991,0.0005544007,0.0006713875,0.0007955414,0.0001133857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007330835,"about_ca_system_score_gemma":0.001406781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5605319,"about_ca_topic_score_gemma":0.7330077,"domain_scores_codex":[0.9954135,0.0008355019,0.0008517979,0.001062534,0.0009993598,0.0008373507],"domain_scores_gemma":[0.9947345,0.002569606,0.0008235376,0.001112825,0.0003619338,0.0003976506],"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":[0.00002012948,0.0002361863,0.0002836315,0.0002103114,0.0001594666,0.0005753777,0.000214852,0.00007069394,0.00001772625,0.04085647,0.8898077,0.06754749],"study_design_scores_gemma":[0.000475292,0.0002070771,0.06295671,0.0003178277,0.000409306,0.0001115651,0.0004013975,0.007493199,0.0001466448,0.004377986,0.9220271,0.001075972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001417397,0.0002098879,0.2802059,0.001179691,0.001121606,0.0002887739,0.7151005,0.00002882329,0.0004473728],"genre_scores_gemma":[0.07327687,0.0007049132,0.01245304,0.0006254056,0.000178214,0.00005134281,0.9070652,0.00003860031,0.005606483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2677529,"threshold_uncertainty_score":0.9996228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009323005874322677,"score_gpt":0.2562751908053489,"score_spread":0.2469521849310262,"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."}}