{"id":"W6992241014","doi":"","title":"Kotihoidon esihenkilöstön työhyvinvointi digitalisoituvassa työympäristössä","year":2022,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Quarter (Canadian coin); Research methodology; Government (linguistics)","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":[0.0001790051,0.0003997803,0.0003633903,0.0002776447,0.000488646,0.001205015,0.0003661076,0.0004333747,0.02991606],"category_scores_gemma":[0.0002005527,0.0001968538,0.0005137488,0.0002109118,0.0004368328,0.0008780977,0.001104418,0.001123097,0.005104105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007492487,"about_ca_system_score_gemma":0.0007266901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001918188,"about_ca_topic_score_gemma":0.004356912,"domain_scores_codex":[0.9998479,0.00001009018,0.00001339634,0.00004597205,0.00005120489,0.00003144331],"domain_scores_gemma":[0.9998748,0.00003037209,0.00001828156,0.00001435472,0.00003667887,0.00002545051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000563983,0.0000598345,0.0006941729,0.0006008347,0.00002839374,0.0003699306,0.0002757984,0.0001626,0.9401377,0.004633049,0.001200486,0.0512733],"study_design_scores_gemma":[0.00004194467,0.0005831679,0.005662733,0.0001689898,0.00006853763,0.000712753,0.0008587691,0.0005446911,0.7794692,0.001700545,0.2101412,0.00004748151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6686183,0.03344432,0.03621682,0.003193898,0.002939585,0.0003799811,0.003543691,0.0007938417,0.2508695],"genre_scores_gemma":[0.6380517,0.01765774,0.01765072,0.0009393404,0.0001951433,0.0002577688,0.002545509,0.0003612252,0.3223408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02991606,"threshold_uncertainty_score":0.1000792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204403155486566,"score_gpt":0.2538335186360401,"score_spread":0.2317894870811744,"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."}}