{"id":"W6976699518","doi":"10.6068/dp14ba810291a69","title":"Trend 1960 - 2012. Statistics Canada. CANSIM: Manufacturing - Food, Beverage and Tobacco | Country: Canada | Table: Supply and disposition of food in Canada | Variable: Parsnips fresh, Domestic disappearance | Units: Tonnes x 1,000, 1960-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-151.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Official statistics; Census; Food supply; Summary statistics; Descriptive statistics; Statistical analysis; National accounts; Social statistics","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":[0.001925203,0.002377471,0.002612432,0.008790457,0.003158487,0.004786973,0.004866394,0.001498559,0.09085029],"category_scores_gemma":[0.01672013,0.001790006,0.002091191,0.04276393,0.0006988315,0.002666206,0.0022517,0.003111018,0.05702033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05545674,"about_ca_system_score_gemma":0.1435526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948124,"about_ca_topic_score_gemma":0.9925669,"domain_scores_codex":[0.9957948,0.0002352129,0.0004277473,0.0005165237,0.002045382,0.0009804156],"domain_scores_gemma":[0.9680511,0.0009941778,0.000985802,0.0008681985,0.02760906,0.001491724],"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":[0.00001999827,0.000005526328,0.0008701297,0.000235476,0.00001792066,0.000006530885,0.0000197312,0.0001002178,0.000009131468,0.0004013295,0.9968641,0.001450016],"study_design_scores_gemma":[0.0001159442,0.00001034163,0.02073873,0.0006877234,0.00005728761,0.00002398501,0.0003848464,0.0003408965,0.0001622469,0.0005493753,0.9768568,0.0000717749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004699514,0.0000540541,0.00002455726,0.0001302477,0.00003164431,0.00001356966,0.9986517,0.0000580689,0.0009892299],"genre_scores_gemma":[0.0009736835,0.0003770935,0.0004252063,0.0001798533,0.00002302864,0.0001197891,0.9922314,0.0001252425,0.005544726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09085029,"threshold_uncertainty_score":0.4023687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152553444631109,"score_gpt":0.2112869434412893,"score_spread":0.1960315989781784,"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."}}