{"id":"W4401463517","doi":"10.58324/s.378","title":"Sztuczna inteligencja a duszpasterstwo.Obietnice – zagrożenia – wyzwania","year":2024,"lang":"pl","type":"article","venue":"Społeczeństwo","topic":"Catholicism, Bioethics, Media, Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Theology; Physics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003979252,0.0008116604,0.0007769394,0.0006593267,0.0010384,0.001408824,0.001409473,0.001042943,0.003409068],"category_scores_gemma":[0.0008265058,0.0008651469,0.0006337928,0.002949177,0.001646465,0.001134251,0.000250372,0.001992312,0.01464288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692999,"about_ca_system_score_gemma":0.004663696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01136681,"about_ca_topic_score_gemma":0.01132589,"domain_scores_codex":[0.9928376,0.0007896434,0.001178865,0.001686548,0.001759444,0.001747919],"domain_scores_gemma":[0.9962321,0.001041517,0.0003142907,0.001117577,0.0004484275,0.0008460844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001155823,0.0004004924,0.000626546,0.0007981457,0.0003213069,0.0002396113,0.7129778,0.00001217149,0.001015868,0.06365362,0.1146729,0.1051659],"study_design_scores_gemma":[0.0003594295,0.0001858537,0.0008712152,0.0009642298,0.0003946863,0.00005625269,0.0555934,0.0006765217,0.0006452938,0.00543525,0.9336516,0.001166278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5871176,0.06134389,0.001345164,0.1113952,0.09318293,0.003553749,0.0004522736,0.0023444,0.1392648],"genre_scores_gemma":[0.9180465,0.007650602,0.0005865613,0.002045772,0.009253603,0.00007918097,0.00009130989,0.0001914269,0.06205505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8189787,"threshold_uncertainty_score":0.9996278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03476374064339344,"score_gpt":0.3764637796461433,"score_spread":0.3417000390027499,"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."}}