{"id":"W6950405044","doi":"10.5281/zenodo.6757211","title":"Accessing our past: the historical Census of Canada data inventory project","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Ottawa","funders":"","keywords":"Census; American Community Survey; Metadata; Session (web analytics); Usability; Latin Americans; Population statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00777067,0.0008203685,0.0007786371,0.01341579,0.01085256,0.00886988,0.003344159,0.0007592555,0.01450318],"category_scores_gemma":[0.01920227,0.0009719937,0.0007767905,0.03457444,0.001666763,0.003045985,0.004968616,0.002170906,0.004960279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1155272,"about_ca_system_score_gemma":0.3244711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976421,"about_ca_topic_score_gemma":0.9981918,"domain_scores_codex":[0.9931659,0.0005402908,0.0003503697,0.0006035252,0.004162987,0.001176917],"domain_scores_gemma":[0.9665331,0.001273074,0.0007556427,0.001818166,0.02492169,0.004698439],"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":[0.00008498563,0.00009075518,0.02628186,0.0004141555,0.00007198193,0.00009538448,0.006410796,0.0008416901,0.0004505714,0.02218732,0.8136361,0.1294344],"study_design_scores_gemma":[0.00002242137,0.00001235628,0.06102689,0.0003509685,0.00004846902,0.00003353972,0.00829771,0.00132285,0.0005303891,0.001956454,0.9263044,0.00009356211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02938636,0.002421696,0.01553087,0.01342252,0.0006106562,0.002683922,0.7895169,0.002585904,0.1438412],"genre_scores_gemma":[0.1124794,0.006201108,0.08543315,0.002898957,0.0001160418,0.004516746,0.7054272,0.001810163,0.08111717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1155272,"threshold_uncertainty_score":0.8382121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074980337365461,"score_gpt":0.2695911645440822,"score_spread":0.1620931308075361,"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."}}