{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001305377,0.001251772,0.001212606,0.005696155,0.001039514,0.002163179,0.002351308,0.001079944,0.01073425],"category_scores_gemma":[0.01189805,0.0005107613,0.001224546,0.01444143,0.0005953353,0.001071676,0.001673554,0.001884944,0.007089641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008733992,"about_ca_system_score_gemma":0.01915755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9267525,"about_ca_topic_score_gemma":0.9431773,"domain_scores_codex":[0.9986497,0.00009825791,0.0001678229,0.00022693,0.0004938695,0.0003634633],"domain_scores_gemma":[0.9930361,0.0008472649,0.0008252488,0.0004982401,0.004069574,0.0007236367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002282157,0.00003862619,0.0635258,0.0006089806,0.0001297916,0.00003942546,0.0001721353,0.0007825281,0.00005957979,0.000924325,0.9285405,0.004950154],"study_design_scores_gemma":[0.0003882534,0.00004647739,0.4214318,0.00102643,0.0001979008,0.000162653,0.001921148,0.001717258,0.0004059198,0.0009268458,0.5716469,0.0001284165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002101391,0.0001110563,0.00003784847,0.0001330969,0.00001860074,0.00001097467,0.9969292,0.00006091223,0.0005969465],"genre_scores_gemma":[0.008841617,0.0002165607,0.000205016,0.00006766759,0.000015149,0.00008011743,0.9885621,0.00002830433,0.001983449],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07324749,"threshold_uncertainty_score":0.1473577,"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."}}