{"id":"W7128438440","doi":"10.60058/gsu.fp.2015.108.91-119","title":"Индивидуалните планове в социалната работа - методически въпроси","year":2025,"lang":"","type":"article","venue":"Годишник на Софийския университет \"Св Климент Охридски\" Факултет по педагогика Книга Социални дейности","topic":"Advanced Research in Science and Engineering","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.002338468,0.0007367974,0.0005442438,0.002348411,0.003886125,0.01324265,0.001031777,0.002388598,0.03438666],"category_scores_gemma":[0.00556903,0.0006264084,0.0007295175,0.002492815,0.008689321,0.007053092,0.003340831,0.003462073,0.01193227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00548268,"about_ca_system_score_gemma":0.007930293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007813478,"about_ca_topic_score_gemma":0.008121447,"domain_scores_codex":[0.9962846,0.00106016,0.0001876731,0.0006078499,0.00147127,0.0003884756],"domain_scores_gemma":[0.9968772,0.0009102409,0.0003239997,0.0004319603,0.001119482,0.0003371848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005277865,0.00004332131,0.001507139,0.0002550582,0.00002367089,0.0003254491,0.004621552,0.0004978008,0.001435444,0.9250037,0.01801822,0.04821589],"study_design_scores_gemma":[0.00002571314,0.00004365738,0.00410593,0.0004344614,0.00004018333,0.0006386331,0.005976078,0.0007470864,0.002172816,0.3464229,0.6393178,0.00007468609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.02342739,0.01569889,0.03623186,0.02351055,0.001703057,0.0001657329,0.0006559247,0.0003028573,0.8983038],"genre_scores_gemma":[0.6378186,0.01999206,0.0482135,0.003073955,0.001102043,0.0005208983,0.0006838714,0.0005008236,0.2880941],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03438666,"threshold_uncertainty_score":0.1150349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0467873798107,"score_gpt":0.4404660614984551,"score_spread":0.3936786816877551,"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."}}