{"id":"W7061226680","doi":"","title":"Pensiero alto, fatto con poco il quartiere Ponti di Franco Albini a Milano = High ideas facing low budget : the Ponti quarter by Franco Albini in Milan","year":2015,"lang":"it","type":"article","venue":"","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Period (music); Context (archaeology); Order (exchange)","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":[0.001631853,0.0009428261,0.0006253514,0.0006129944,0.003567621,0.006588645,0.0005001799,0.003343995,0.03906013],"category_scores_gemma":[0.004202162,0.0003661064,0.0004619765,0.0007012045,0.002236376,0.003025422,0.002247065,0.007972027,0.007743246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004140137,"about_ca_system_score_gemma":0.003136432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01390071,"about_ca_topic_score_gemma":0.0336496,"domain_scores_codex":[0.9984809,0.0003403971,0.00003917616,0.0003794302,0.0003504325,0.0004097143],"domain_scores_gemma":[0.9976727,0.0005233685,0.0001447135,0.0001283222,0.0003922495,0.001138557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003267051,0.000010802,0.0002805123,0.00005687214,0.000004184087,0.00004736946,0.0002759977,0.0000335869,0.0001369622,0.007407459,0.9831098,0.008603644],"study_design_scores_gemma":[0.000006844621,0.000007674323,0.0009432178,0.00006889524,0.00000206855,0.00005364793,0.0002809962,0.00002633829,0.0000639159,0.001182713,0.9973546,0.000009143389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002576744,0.04857507,0.0004945192,0.7686922,0.1100463,0.00003232013,0.0002729003,0.0001430413,0.06916699],"genre_scores_gemma":[0.07561172,0.02797344,0.001455479,0.15057,0.07852388,0.0001060806,0.0002592259,0.0009519018,0.6645483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03906013,"threshold_uncertainty_score":0.1306692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008635095595349671,"score_gpt":0.212214835416773,"score_spread":0.2035797398214233,"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."}}