{"id":"W6946088673","doi":"10.25828/vb56-8q75","title":"Quarterly Labour Force Survey 2009, Quarter 2","year":2020,"lang":"en","type":"dataset","venue":"DataFirst","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Current Population Survey; Work (physics); Labour supply","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":[0.001046751,0.00204677,0.001407236,0.006654643,0.000613661,0.001853782,0.001834759,0.001519785,0.03950891],"category_scores_gemma":[0.005833182,0.0007715719,0.001067868,0.01217063,0.0002996949,0.001071714,0.00129612,0.001376118,0.05401054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537388,"about_ca_system_score_gemma":0.003532726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1406965,"about_ca_topic_score_gemma":0.1424025,"domain_scores_codex":[0.9988424,0.00009996456,0.0001664987,0.0002370872,0.0004204405,0.0002337019],"domain_scores_gemma":[0.997093,0.0004176181,0.0006684044,0.0002868049,0.001249511,0.000284795],"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":[0.00008624044,0.00003592798,0.003806201,0.0003108539,0.00004105515,0.00001994395,0.0000218262,0.0002672169,0.00004866965,0.0002282773,0.9920982,0.003035496],"study_design_scores_gemma":[0.0004080737,0.00006242631,0.06656528,0.0003885578,0.00008235544,0.0001080749,0.0002423853,0.000693265,0.0004491429,0.0005790863,0.9303705,0.00005094198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004168474,0.00006069089,0.00002788126,0.00005177239,0.0000200372,0.000006053756,0.9989924,0.00005480429,0.0003696434],"genre_scores_gemma":[0.001229339,0.0001225029,0.00008249919,0.00005829256,0.00001845142,0.00006128042,0.9953325,0.00001949773,0.003075555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1406965,"threshold_uncertainty_score":0.2797551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457124758544309,"score_gpt":0.2648736658719826,"score_spread":0.2403024182865395,"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."}}