{"id":"W7062728469","doi":"","title":"Yhdenmukainen osaamisen kartoittaminen: sairaanhoitajien näkemyksiä osaamisen tunnistamisesta ja hyödyntämisestä avovastaanotolla","year":2023,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Work (physics); Life style; Paid work; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007217705,0.0005706034,0.0004833321,0.0005159132,0.001945724,0.004541608,0.0006854338,0.001334004,0.05804725],"category_scores_gemma":[0.001318476,0.0003242843,0.0005779744,0.0003977777,0.0009830587,0.002796567,0.002848176,0.002343743,0.0196677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167541,"about_ca_system_score_gemma":0.002077298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003347066,"about_ca_topic_score_gemma":0.009314587,"domain_scores_codex":[0.9993839,0.00006442889,0.00004479412,0.0001419461,0.000248584,0.0001161977],"domain_scores_gemma":[0.9992805,0.0001398647,0.00006594845,0.00004495466,0.0002773307,0.0001913317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002983433,0.0008554982,0.01350032,0.004301319,0.0001751235,0.003661432,0.01772562,0.0004232102,0.1726156,0.04471635,0.1229531,0.6160889],"study_design_scores_gemma":[0.00004812757,0.0003333596,0.01336251,0.0005659055,0.00008417268,0.001275184,0.005318615,0.0002833052,0.01848544,0.004204521,0.9559563,0.0000827188],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.19987,0.0547488,0.02243895,0.02795259,0.01169736,0.000459832,0.003586191,0.002086785,0.6771595],"genre_scores_gemma":[0.2446069,0.02074249,0.01690715,0.006489857,0.001742906,0.000314713,0.001882607,0.00080868,0.7065047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05804725,"threshold_uncertainty_score":0.1941874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504718522837218,"score_gpt":0.2494985322894978,"score_spread":0.2244513470611256,"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."}}