{"id":"W7098438855","doi":"","title":"SUMMARY","year":2008,"lang":"en","type":"article","venue":"","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zoning; Subject (documents); Service (business); Function (biology); Land use; Postal service","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002238421,0.00003212734,0.00004256437,0.000001889718,0.0001138487,0.00000184781,0.00008599888,0.00004538606,0.001344988],"category_scores_gemma":[0.000005782553,0.000008321204,0.00002456887,0.00006859008,0.00003663873,0.00002740677,0.00001797808,0.00003626862,0.0002789658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001897192,"about_ca_system_score_gemma":7.844991e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002861147,"about_ca_topic_score_gemma":0.0002155288,"domain_scores_codex":[0.9997523,0.000005823838,0.00004233453,0.00007018399,0.00003485656,0.00009452382],"domain_scores_gemma":[0.9999191,0.00002695669,0.000008065354,0.00001757919,0.000008689223,0.00001964717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002948817,0.0001509504,0.2616738,0.00000120107,0.00001566691,0.00008918904,0.00003046087,2.524068e-7,0.5004985,0.01363936,0.06904455,0.1548266],"study_design_scores_gemma":[0.0001584113,0.0001260678,0.752184,0.00000223354,0.000003473042,0.0000894462,0.00009982815,0.00002323028,0.00758796,0.001679965,0.2378751,0.0001702545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667706,0.00006746293,0.000001483463,0.002026646,0.00002138048,0.00002931172,0.000001513647,0.0002632662,0.03081829],"genre_scores_gemma":[0.9959106,0.00005534177,0.00002517626,0.000480128,0.00003223116,0.000003384016,0.000003853784,8.869883e-8,0.003489169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4929105,"threshold_uncertainty_score":0.9995679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144606091587613,"score_gpt":0.1851961221376474,"score_spread":0.1637500612217713,"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."}}