{"id":"W6976730396","doi":"10.6068/dp14ba8d0fe9c55","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, Low Income Measures, by family type and family type composition | Variable: Number of persons aged 65 years and over, Family types with 3 or more children, Lone-parent families, Before-tax income | Units: , 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-098.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Laser-Ablation Synthesis of Nanoparticles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Census; Population; Economic statistics; Official statistics; Fertility; Family income; Summary statistics; Demographic 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":[0.0003997249,0.001028758,0.001570889,0.000174081,0.0001843471,0.000261815,0.0009156755,0.0005412298,0.0002763393],"category_scores_gemma":[0.00004618582,0.0009496239,7.665163e-7,0.0003853581,0.000484458,0.0004302678,0.0004016368,0.0007044324,0.00002015961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003694771,"about_ca_system_score_gemma":0.005463521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917479,"about_ca_topic_score_gemma":0.934443,"domain_scores_codex":[0.9955508,0.0002626232,0.000992314,0.001124578,0.001236065,0.0008336094],"domain_scores_gemma":[0.9966146,0.0004324671,0.0005452383,0.001650522,0.0001652093,0.0005919654],"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":[0.0003166698,0.00007352808,0.001448982,0.0005621423,0.001197851,0.0001623558,0.00001850637,0.00009993335,0.0002899501,0.00001467837,0.9955176,0.0002978188],"study_design_scores_gemma":[0.001216592,0.0001570804,0.006183683,0.0001524263,0.001320997,0.00008237391,0.0003076923,0.002173874,4.674917e-7,1.486993e-7,0.9872755,0.001129156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00599318,0.01020486,0.00001031251,0.000001516007,0.0004541869,0.0006924819,0.9821515,0.0001713673,0.0003205704],"genre_scores_gemma":[0.005998437,0.006804851,0.0004620125,0.0002096789,0.0001239607,0.00001226849,0.985477,0.000416424,0.0004953482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05730489,"threshold_uncertainty_score":0.9992954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586038601093315,"score_gpt":0.216359815638486,"score_spread":0.2004994296275528,"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."}}