{"id":"W7098329220","doi":"","title":"Accounting for taste in housing decisions: Endogenous lifecycle stages","year":2003,"lang":"en","type":"article","venue":"","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Argument (complex analysis); Housing tenure; Taste; System lifecycle; Production (economics); Census; Set (abstract data type)","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":[0.00222285,0.0005256189,0.0007001777,0.0007549091,0.0008840983,0.002538153,0.001027958,0.001250445,0.00972825],"category_scores_gemma":[0.006831871,0.0005715191,0.001536794,0.001146055,0.001235774,0.003105403,0.001800221,0.001637986,0.0006620034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003379325,"about_ca_system_score_gemma":0.00312294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04467684,"about_ca_topic_score_gemma":0.06939069,"domain_scores_codex":[0.9990466,0.000336693,0.00004127052,0.0001511379,0.0001282778,0.0002958812],"domain_scores_gemma":[0.9952098,0.002416485,0.001351114,0.0003665663,0.0002561809,0.0003998813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006122683,0.0007474496,0.5174252,0.0003070433,0.0004482181,0.0007598004,0.001790166,0.1602502,0.002016983,0.2430238,0.00328136,0.06933755],"study_design_scores_gemma":[0.0002031264,0.0005203483,0.2271256,0.0001832406,0.0003957321,0.0002326487,0.001969038,0.5489016,0.001494143,0.2040362,0.01473655,0.0002017991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8514367,0.001187811,0.1199732,0.002038088,0.0000775903,0.0003276797,0.00122065,0.0001310577,0.02360732],"genre_scores_gemma":[0.97567,0.00050958,0.01221423,0.000139957,0.00003737994,0.00008078642,0.0004614766,0.00001672428,0.01086986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04467684,"threshold_uncertainty_score":0.08883357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07246150753976612,"score_gpt":0.2524746832009651,"score_spread":0.180013175661199,"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."}}