{"id":"W2369571449","doi":"","title":"An Analysis of Sunshine Environment about Residential Building","year":2007,"lang":"en","type":"article","venue":"Jiangsu Environmental Science and Technology","topic":"Urban and spatial planning","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apartment; Sunshine duration; Real estate; Architectural engineering; Quarter (Canadian coin); Residential area; Environmental science; Meteorology; Civil engineering; Business; Engineering; Geography; Finance; Precipitation","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001160207,0.000185002,0.0003298392,0.0006441448,0.0003047322,0.00002747461,0.0005587224,0.0001385338,0.001743631],"category_scores_gemma":[0.00002484857,0.0001640026,0.00007354882,0.001504383,0.003023534,0.0004490306,0.0004403624,0.0001549313,0.00003449975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002613692,"about_ca_system_score_gemma":0.000007575418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004714393,"about_ca_topic_score_gemma":0.0002404502,"domain_scores_codex":[0.9977345,0.0000156497,0.0003410034,0.0006470328,0.0007385655,0.0005232022],"domain_scores_gemma":[0.9991537,0.00002941752,0.0001605989,0.0004533573,0.00000304719,0.0001998637],"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":[0.0000122636,0.0001127667,0.4653647,0.000001058153,0.00009970822,0.00002202229,0.0001523884,0.000418815,0.521271,0.0004351332,0.0000168426,0.01209327],"study_design_scores_gemma":[0.0001992998,0.0002392317,0.9113144,0.000002360094,0.0007645227,0.00001519539,0.0004214854,0.00309175,0.08129408,0.0003236638,0.002067867,0.0002661775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968605,0.0001475128,0.001683227,0.0001695818,0.00003388789,0.0001391019,0.000013017,0.00004604512,0.0009071334],"genre_scores_gemma":[0.9970658,0.00005493432,0.002663662,0.0001035548,0.00001305713,0.000006300691,0.000007037082,0.000009431189,0.00007615413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4459497,"threshold_uncertainty_score":0.9996896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004325310202111174,"score_gpt":0.2224879613796504,"score_spread":0.2181626511775392,"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."}}