{"id":"W6930047936","doi":"10.5255/ukda-sn-7176-5","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, April - September, 2012","year":2017,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Sample (material); Population; Current Population Survey; Survey data collection; Work (physics); Data collection","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":[0.002383312,0.001288959,0.001942805,0.002890698,0.0008549485,0.001527054,0.001921517,0.001077429,0.09677178],"category_scores_gemma":[0.01371307,0.0009174664,0.0009188158,0.008000015,0.0002205487,0.001392239,0.001570469,0.001942172,0.09561219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002234615,"about_ca_system_score_gemma":0.004787464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1182682,"about_ca_topic_score_gemma":0.117056,"domain_scores_codex":[0.9980499,0.0003481961,0.0003440288,0.0003583419,0.0005414694,0.0003580973],"domain_scores_gemma":[0.9948613,0.0006538289,0.0004727682,0.0004465034,0.003291837,0.0002737234],"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":[0.00005465095,0.00001623335,0.001419145,0.0002823345,0.0000178693,0.00001108815,0.00003390816,0.00005695643,0.00001752897,0.0002419011,0.9948718,0.002976528],"study_design_scores_gemma":[0.0006935876,0.0001036761,0.09104963,0.001051088,0.0001007344,0.00008224292,0.0005315991,0.0003519741,0.0001261156,0.0008309624,0.9050089,0.00006948353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002432078,0.00005149708,0.00008265665,0.00009967082,0.00005499691,0.00007014892,0.9982352,0.00005526479,0.001107317],"genre_scores_gemma":[0.001319066,0.0001553605,0.0003199001,0.0001504273,0.00004549497,0.001097942,0.9915054,0.00005110178,0.005355155],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1182682,"threshold_uncertainty_score":0.3237339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04764574880885666,"score_gpt":0.3186186143408276,"score_spread":0.270972865531971,"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."}}