{"id":"W6925542764","doi":"10.18712/nsd-nsd1938-3-v2","title":"Labour Force Survey 2013, 3rd Quarter","year":2022,"lang":"en","type":"dataset","venue":"NSD – Norsk senter for forskningsdata","topic":"Contemporary Social and Economic Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Comparability; Unemployment; Population; Point (geometry); Working population; Order (exchange); Work (physics)","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003110897,0.0005791144,0.0009223988,0.0002671756,0.00183984,0.0004497888,0.002321235,0.000530677,0.03285192],"category_scores_gemma":[0.0004746667,0.0006400197,0.0004693907,0.0003240825,0.0002870004,0.00103175,0.000720698,0.0006529738,0.000419891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003433316,"about_ca_system_score_gemma":0.0004410397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.167709,"about_ca_topic_score_gemma":0.2272682,"domain_scores_codex":[0.9957979,0.0005577336,0.000824989,0.001081611,0.000598496,0.001139299],"domain_scores_gemma":[0.9971113,0.0006082082,0.0007097117,0.00108778,0.0001684661,0.000314584],"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":[0.0001276781,0.00009747167,0.0008007467,0.0000946638,0.0001753799,0.000009393105,0.001960591,7.07856e-7,4.534592e-7,0.0003928527,0.9961107,0.0002293904],"study_design_scores_gemma":[0.0006257429,0.0001532049,0.0001467691,0.00003686536,0.00007802992,0.000001706102,0.002451706,0.000004876472,8.17941e-7,0.0008776673,0.9948938,0.0007287429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009668574,0.0003454527,0.00004525464,0.002278215,0.004746051,0.001300534,0.9895009,0.0001278567,0.0006888538],"genre_scores_gemma":[0.0004520696,0.0004935371,0.00005902287,0.001084049,0.001688736,0.0002819531,0.9581972,0.00006917943,0.03767423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05955919,"threshold_uncertainty_score":0.9996051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05109417322449439,"score_gpt":0.3198141266326144,"score_spread":0.26871995340812,"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."}}