{"id":"W6976423569","doi":"10.6068/dp14ba7c42c6a3","title":"Trend 1948 - 2010. Statistics Canada. CANSIM: Environment - Air and Climate | Country: Canada | Table: Departures of temperature and precipitation from 1961 to 1990 normal, by Canada and climatic regions | Variable: Annual, Precipitation | Units: %, 1948-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-083.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Census; Official statistics; Economic statistics; Climate change; Statistical analysis; Summary statistics; Climate extremes","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":[0.001746395,0.001950975,0.00204966,0.00735215,0.002680415,0.004324361,0.004208955,0.001232814,0.1099374],"category_scores_gemma":[0.01461194,0.001530908,0.001782859,0.0347965,0.00060278,0.002535676,0.002193152,0.00285564,0.06761318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04414882,"about_ca_system_score_gemma":0.1234609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932893,"about_ca_topic_score_gemma":0.990433,"domain_scores_codex":[0.996427,0.0002214869,0.0003652541,0.0004297793,0.001711622,0.0008448012],"domain_scores_gemma":[0.9727564,0.0008725284,0.0007645423,0.0008196086,0.0234922,0.001294743],"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":[0.00001629656,0.000004595778,0.0008292148,0.0001775269,0.00001523647,0.000005685912,0.00001742384,0.0001017033,0.000008665872,0.0003713838,0.9969381,0.001514209],"study_design_scores_gemma":[0.0001039017,0.00000846981,0.01873195,0.0005383916,0.0000434262,0.00002134234,0.0003381392,0.0003893847,0.0001563204,0.0005918641,0.9790121,0.00006474862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005181295,0.00004868969,0.00003474983,0.0001299714,0.00003946845,0.00001585013,0.9981154,0.00008252647,0.001481582],"genre_scores_gemma":[0.00104923,0.0003100224,0.0004796211,0.0001853997,0.00002394997,0.0001256953,0.9912288,0.0001735617,0.00642367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1099374,"threshold_uncertainty_score":0.3677772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340964684339679,"score_gpt":0.222531659506035,"score_spread":0.2091220126626382,"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."}}