{"id":"W4415089771","doi":"10.61838/ijbmc.v12i6.981","title":"Attitudes of Primary Healthcare Centers Workers' towards Artificial Intelligence in Healthcare","year":2025,"lang":"en","type":"article","venue":"International journal of body, mind and culture","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Likert scale; Quarter (Canadian coin); Primary health care; Marital status; Test (biology); Sample (material); Primary care","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":[0.002228189,0.0001709639,0.0002128772,0.0004534916,0.000790448,0.001375007,0.0002233399,0.0006273767,0.003459044],"category_scores_gemma":[0.005076407,0.0001781121,0.0003304743,0.0002670499,0.0006830755,0.0002836623,0.000623909,0.0007181331,0.000405685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005575637,"about_ca_system_score_gemma":0.0008629494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004678366,"about_ca_topic_score_gemma":0.006014284,"domain_scores_codex":[0.9985309,0.0005169454,0.00008001123,0.00008960832,0.0004794611,0.0003030965],"domain_scores_gemma":[0.9945771,0.001410769,0.00172766,0.0001456714,0.0008179477,0.001320847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009183434,0.0003703272,0.9671267,0.000132034,0.0000372525,0.0003481207,0.02129009,0.00006355516,0.0008448433,0.00008320931,0.000992178,0.008619778],"study_design_scores_gemma":[0.0000119141,0.0005144317,0.9576172,0.0001192251,0.00001652886,0.0003412928,0.03893922,0.0001272666,0.0001521246,0.00006817274,0.002078742,0.00001370449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980476,0.0001996088,0.00003989367,0.0004320486,0.00001267528,0.00001398718,0.00002381615,0.000001615393,0.001228809],"genre_scores_gemma":[0.998962,0.0002144247,0.00005538668,0.0002396339,0.00001199509,0.000008935199,0.00002037679,6.053482e-7,0.0004866054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004678366,"threshold_uncertainty_score":0.0117839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834604057846703,"score_gpt":0.316689411042258,"score_spread":0.2983433704637909,"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."}}