{"id":"W7010807640","doi":"","title":"Kokki vai tarjoilija - nuorten ammatilliseen suuntautumiseen ohjaavat tekijät Helsingin palvelualojen oppilaitoksessa","year":2009,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Power (physics); Quarter (Canadian coin)","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":[0.001115319,0.0007412918,0.0006469286,0.0007962802,0.00352755,0.006409196,0.001094227,0.001771983,0.1224986],"category_scores_gemma":[0.001593039,0.0005437761,0.0006474556,0.0007612906,0.00155926,0.003136997,0.00444273,0.002746227,0.03455523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002349252,"about_ca_system_score_gemma":0.003417393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007953653,"about_ca_topic_score_gemma":0.02888585,"domain_scores_codex":[0.9987774,0.0001387189,0.00006092961,0.0002736521,0.0005482227,0.0002010826],"domain_scores_gemma":[0.9987469,0.0002505467,0.0001313628,0.0001204999,0.0005082891,0.0002424823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0015732,0.0008289449,0.01716429,0.002303906,0.0001187422,0.003315767,0.01305155,0.0007754964,0.1229262,0.06052779,0.1884152,0.5889989],"study_design_scores_gemma":[0.00001365791,0.0001605583,0.006510542,0.0002200396,0.00002931562,0.0004325786,0.002460511,0.0001805206,0.01040494,0.002139416,0.9774083,0.00003961594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08541808,0.01210955,0.01072694,0.01406797,0.004966316,0.0003420388,0.001522952,0.00131928,0.8695269],"genre_scores_gemma":[0.1386328,0.005648494,0.009016575,0.002561016,0.000464323,0.0001509446,0.001005732,0.0007170418,0.8418031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1224986,"threshold_uncertainty_score":0.4097987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668387474155809,"score_gpt":0.2736230475684672,"score_spread":0.2569391728269091,"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."}}