{"id":"W6957942418","doi":"10.6068/dp14baa3d861920","title":"Trend 1994 - 1998. Statistics Canada. CANSIM: Health - Prevention and Detection of Disease | Country: Canada | Province: Newfoundland and Labrador | Table: Functional health status, by age group and sex, household population aged 4 years and over | Variable: 12 years and over, Moderate or severe functional health problems, Both sexes | Units: # Persons, 1994-1998. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-117.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Public health; Official statistics; Population; Socioeconomic status; Health statistics; Disease; Population statistics; Summary 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006786161,0.0004631964,0.0007835496,0.00009411076,0.0003174197,0.0003830733,0.0001690483,0.0001991372,0.0001816229],"category_scores_gemma":[0.000009628203,0.0004438139,2.948712e-7,0.0001086578,0.00019592,0.0004748907,0.0002344576,0.0002947381,1.034411e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004096761,"about_ca_system_score_gemma":0.007213416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990816,"about_ca_topic_score_gemma":0.998312,"domain_scores_codex":[0.9966528,0.0004203154,0.0006760685,0.0009089335,0.0007420881,0.00059974],"domain_scores_gemma":[0.9976866,0.0001574354,0.0007606539,0.0005275907,0.000002472206,0.0008652138],"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":[0.0005224062,0.00006507219,0.0003720656,0.001837983,0.00005618206,0.00002714165,0.00001761512,0.0000105297,0.00007172849,0.00004544501,0.9965295,0.0004443077],"study_design_scores_gemma":[0.001679465,0.0003633349,0.001186893,0.0001184549,0.0001336931,0.00007703026,0.0001008264,0.0005181279,2.727873e-8,0.000001103885,0.9953758,0.0004452986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002175968,0.002743097,0.00003688072,0.000001906121,0.0003944163,0.001019476,0.9935738,0.00005061582,0.000003855472],"genre_scores_gemma":[0.001777757,0.00258406,0.0002144248,0.0002453052,0.0001053699,0.00001750787,0.9940997,0.0001037771,0.0008520613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00680374,"threshold_uncertainty_score":0.9998013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02999638317881704,"score_gpt":0.2549991488149752,"score_spread":0.2250027656361581,"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."}}