{"id":"W6950788042","doi":"10.5683/sp3/h79rpu","title":"Postal Code Conversion File [Canada], February 2005, Census of Canada 2001","year":2005,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Data file; Geographic information system; Geocoding; Code (set theory); Location","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":[0.001298991,0.001064565,0.000854147,0.008247065,0.003918405,0.003807121,0.003039687,0.0008152918,0.1849189],"category_scores_gemma":[0.01264557,0.0008759015,0.0005896307,0.02827212,0.0005386601,0.001952881,0.001092507,0.001743305,0.07262564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04312487,"about_ca_system_score_gemma":0.108601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867125,"about_ca_topic_score_gemma":0.9844692,"domain_scores_codex":[0.9971526,0.0001316111,0.0002132877,0.0002582768,0.001682586,0.0005616356],"domain_scores_gemma":[0.9836346,0.0003942023,0.000311936,0.0004351312,0.01465183,0.0005724229],"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":[0.00001353523,0.000006460599,0.0005499075,0.00009188553,0.000003055403,0.00001184439,0.00006428557,0.00006700726,0.00001417999,0.001247887,0.9921997,0.005730187],"study_design_scores_gemma":[0.00002100171,0.000005658088,0.0167064,0.0001707346,0.000009265498,0.0000354057,0.0004716998,0.0002146223,0.00009201995,0.0004533988,0.9817902,0.00002953141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005457209,0.0002329765,0.000371676,0.000589766,0.000211897,0.0002129204,0.9584217,0.0004315487,0.03898174],"genre_scores_gemma":[0.005699879,0.001266381,0.002608527,0.0005435961,0.00006971559,0.0005253376,0.8575894,0.0006563113,0.1310407],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1849189,"threshold_uncertainty_score":0.6186153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177468066075641,"score_gpt":0.2250506279334531,"score_spread":0.2132759472726967,"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."}}