{"id":"W4393409914","doi":"10.2478/wsbjbf-2024-0005","title":"Developing selection criteria for harmonious co-living: la Maison des Babayagas and beyond","year":2024,"lang":"en","type":"article","venue":"WSB Journal of Business and Finance","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Regina","funders":"","keywords":"Selection (genetic algorithm); Humanities; Computer science; Art; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000581535,0.00006539712,0.000128235,0.00007132311,0.0005180977,0.0002247885,0.00003955454,0.00003849503,0.000005278016],"category_scores_gemma":[0.0001610844,0.00005530147,0.00002288541,0.0001919907,0.0001411324,0.0003413986,0.000009774215,0.00005716217,2.480025e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003058093,"about_ca_system_score_gemma":0.0001432331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002467381,"about_ca_topic_score_gemma":0.0004877749,"domain_scores_codex":[0.9994999,0.00003298455,0.000156438,0.00009039091,0.00009692169,0.0001233568],"domain_scores_gemma":[0.9994776,0.0001426531,0.00008307084,0.0000169723,0.0002596207,0.00002013257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001291831,0.0001034713,0.0428178,0.002417634,0.000198509,0.0000815923,0.5417613,0.00002670366,0.001326725,0.1320904,0.04941497,0.2296317],"study_design_scores_gemma":[0.0003257528,0.00008462757,0.5559117,0.001693542,0.00005668192,0.0001248318,0.001457089,0.0004320641,0.0001846438,0.02355432,0.4159201,0.0002546281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315945,0.01751355,0.0483067,0.00153013,0.0004249214,0.00007273495,0.000003806954,0.000014561,0.0005391168],"genre_scores_gemma":[0.9674895,0.02701315,0.004601558,0.00004430789,0.0004445555,0.000003406859,3.431257e-7,0.000006634334,0.0003965357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5403042,"threshold_uncertainty_score":0.3984841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03220635713226347,"score_gpt":0.3260573801778864,"score_spread":0.2938510230456229,"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."}}