{"id":"W7009493737","doi":"","title":"Etäkuntoutusohjelmien käytettävyyden ja ominaisuuksien vertailu terveysalan ammattilaisten näkökulmasta","year":2020,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Work (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":[0.001784328,0.0006899451,0.001047631,0.0006747514,0.001047764,0.003156062,0.0007566852,0.001393537,0.05092354],"category_scores_gemma":[0.002761614,0.0003560446,0.001368679,0.0003713835,0.0008559414,0.001997826,0.001854317,0.002352308,0.01293916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009063295,"about_ca_system_score_gemma":0.00177735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001772203,"about_ca_topic_score_gemma":0.004665326,"domain_scores_codex":[0.9985756,0.0002936412,0.0001453605,0.0002019279,0.0005580053,0.0002254919],"domain_scores_gemma":[0.9980078,0.0007765176,0.0002734691,0.0001934122,0.0005068349,0.0002418646],"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":[0.006012372,0.002359354,0.01604448,0.004339851,0.0003144392,0.003784183,0.002584538,0.0004986103,0.2362947,0.005060169,0.02861541,0.694092],"study_design_scores_gemma":[0.0003128781,0.008406662,0.04521679,0.002080774,0.0004158011,0.00893937,0.005718515,0.001529096,0.1948407,0.004175346,0.7281101,0.0002539804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5431333,0.0937323,0.05227197,0.0261476,0.009803379,0.00229855,0.002818777,0.002568041,0.2672261],"genre_scores_gemma":[0.580517,0.04258299,0.05050058,0.01054231,0.001898705,0.001289426,0.002521382,0.001079449,0.3090681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05092354,"threshold_uncertainty_score":0.1703562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553585873171993,"score_gpt":0.2636120148226049,"score_spread":0.2380761560908849,"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."}}