{"id":"W4403495946","doi":"10.15581/014.26.80-95","title":"What the Land Knows, Fill Remembers","year":2024,"lang":"en","type":"article","venue":"Ra Revista de Arquitectura","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; History","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006014381,0.0001200577,0.0001218398,0.00003062149,0.000351333,0.001736804,0.000365871,0.0000925213,0.0008261515],"category_scores_gemma":[0.0001438153,0.00007242581,0.0001051752,0.0003616436,0.0001901982,0.0005214891,0.00004973307,0.0002559244,0.0001929208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491073,"about_ca_system_score_gemma":0.0001563928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005114815,"about_ca_topic_score_gemma":0.0003309381,"domain_scores_codex":[0.9988236,0.0001319925,0.0001478031,0.0002227199,0.0003056709,0.000368216],"domain_scores_gemma":[0.9994426,0.0001501589,0.00004253047,0.0002484616,0.00003724414,0.00007897468],"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":[0.00004343027,0.0000170496,0.004961754,0.0003129421,0.0001905239,0.0002031989,0.07431967,0.0001590746,0.001117289,0.160652,0.5149526,0.2430705],"study_design_scores_gemma":[0.0000497213,0.00001168604,0.001214577,0.0001834526,0.0000231358,0.00001091681,0.001155836,0.00005564149,0.0001365134,0.00184441,0.9951946,0.0001195204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8102428,0.05438356,0.0003295706,0.05215568,0.004495388,0.0008760461,0.00004371126,0.0006687656,0.0768045],"genre_scores_gemma":[0.9862096,0.003162307,0.00009966393,0.001756048,0.001330174,0.0000131564,0.000006529606,0.00002043793,0.007402028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.480242,"threshold_uncertainty_score":0.9992995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108735740338298,"score_gpt":0.285822510743543,"score_spread":0.2747351533401601,"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."}}