{"id":"W6987377942","doi":"","title":"Statistics in Focus. Developments in construction during the second quarter of 2005.","year":2005,"lang":"en","type":"other","venue":"KETlib (University of Piraeus)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Statistical analysis; 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":[0.0004954578,0.0008907762,0.0005869276,0.004669316,0.0006161269,0.002132287,0.0008350736,0.0007367908,0.1141436],"category_scores_gemma":[0.003066523,0.0004065204,0.0002686536,0.009276989,0.0001966739,0.0008079715,0.0008658561,0.0009355944,0.06557776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002174149,"about_ca_system_score_gemma":0.00282123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1583931,"about_ca_topic_score_gemma":0.1920198,"domain_scores_codex":[0.9993289,0.00003977827,0.00008139048,0.0001004835,0.0002566066,0.0001929864],"domain_scores_gemma":[0.9977792,0.0002744414,0.0005090403,0.0000971538,0.00109645,0.000243682],"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":[0.00005309911,0.00001072876,0.001657463,0.0002642426,0.000004336177,0.00001995939,0.00004778803,0.0000723396,0.00004380052,0.001239943,0.9860572,0.01052915],"study_design_scores_gemma":[0.00003013923,0.00002706584,0.05158391,0.0002296683,0.000008599212,0.00003181183,0.0002363764,0.0001289327,0.0002413422,0.0002897554,0.9471796,0.00001276386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002253815,0.001733909,0.0002377805,0.0008579615,0.0004768264,0.00006870928,0.9067621,0.0006487814,0.08696022],"genre_scores_gemma":[0.02059411,0.003401984,0.0005062124,0.0007877271,0.0004251173,0.0003853203,0.6504458,0.0003977003,0.323056],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1583931,"threshold_uncertainty_score":0.3818484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005711875168569213,"score_gpt":0.1862038842255055,"score_spread":0.1804920090569363,"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."}}