{"id":"W4405082055","doi":"10.14712/12128112.4750","title":"Možnosti merania vitality lokálnych spoločenstiev pomocou obydlí","year":2024,"lang":"en","type":"article","venue":"Lidé města","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vitality; Witness; Field (mathematics); Quality (philosophy); Sociology; Regional science; Political science; Law; Epistemology","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":[0.000789158,0.0004243447,0.000725743,0.002489998,0.002664182,0.005584544,0.0004268456,0.0005053212,0.009693203],"category_scores_gemma":[0.001192077,0.0002402664,0.0003865768,0.00196514,0.003710278,0.003759637,0.003808659,0.001992821,0.001302316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00249329,"about_ca_system_score_gemma":0.001994129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003441959,"about_ca_topic_score_gemma":0.005458058,"domain_scores_codex":[0.9994718,0.0001175539,0.00003273454,0.0001043972,0.0001359814,0.0001374789],"domain_scores_gemma":[0.9996281,0.00008515782,0.00007449205,0.00003970039,0.00008325927,0.00008929197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004475958,0.0002314855,0.04231696,0.001335076,0.0001355121,0.001705775,0.02514095,0.002825544,0.005457989,0.5608938,0.0264091,0.3331001],"study_design_scores_gemma":[0.00003130815,0.0003465089,0.1498288,0.001401647,0.0001457404,0.00358033,0.03568175,0.002265306,0.003226159,0.1357552,0.6675889,0.000148327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5431544,0.02907596,0.03634093,0.01204754,0.001332449,0.0002033605,0.002139437,0.0005385236,0.3751675],"genre_scores_gemma":[0.9508771,0.009266203,0.007643415,0.0004168978,0.0002646214,0.00008026468,0.0005375578,0.0001320742,0.03078201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009693203,"threshold_uncertainty_score":0.03242701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031234032808711,"score_gpt":0.3575280670911636,"score_spread":0.3372157267630765,"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."}}