{"id":"W7053024043","doi":"","title":"Toimialojen kehittyneisyys Suomessa manufaktuurijohtokunnan tilastoissa vuosina 1843-1860 toimialojen elinkaariteorian avulla tarkasteltuna","year":2022,"lang":"fi","type":"other","venue":"Jyväskylä University Digital Archive (University of Jyväskylä)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Work (physics); Quarter (Canadian coin); Life style","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":[0.0005033339,0.0004186799,0.0001884847,0.0007594422,0.003276293,0.002407597,0.0004470382,0.0006020358,0.04575951],"category_scores_gemma":[0.0005810761,0.0002650637,0.0002445903,0.000980055,0.001224414,0.0008169179,0.001882503,0.001022063,0.00751578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00512582,"about_ca_system_score_gemma":0.004236978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04549884,"about_ca_topic_score_gemma":0.1830477,"domain_scores_codex":[0.999508,0.00005122055,0.00002026456,0.0001272736,0.0001479765,0.0001452117],"domain_scores_gemma":[0.999772,0.00002499737,0.00003865386,0.00002411942,0.00006256889,0.00007771275],"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":[0.0009115287,0.0002580301,0.1090636,0.0009925048,0.000063167,0.002390836,0.06431387,0.001647217,0.01904346,0.1944292,0.07126267,0.5356238],"study_design_scores_gemma":[0.000003837526,0.00006121051,0.04064725,0.0001323322,0.000007220347,0.0001993135,0.005781793,0.00006732759,0.002080575,0.001124361,0.9498808,0.00001402536],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2724776,0.007404535,0.002323164,0.002692463,0.0008495476,0.00007719635,0.001455598,0.0001461734,0.7125736],"genre_scores_gemma":[0.2979382,0.002316363,0.002271585,0.0002158109,0.00005813327,0.00004027434,0.00085454,0.0001267453,0.6961784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04575951,"threshold_uncertainty_score":0.1530808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007271091959273265,"score_gpt":0.1578721697572977,"score_spread":0.1506010777980245,"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."}}