{"id":"W7115598028","doi":"10.5194/ica-abs-10-332-2025","title":"Seeing through Satellites, Streets and Stories: Assessing Nature-Based Solutions in the Santa Rosa-Silang Watershed, Philippines","year":2025,"lang":"en","type":"article","venue":"Abstracts of the ICA","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"University of the Philippines","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Perspective (graphical); Identification (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004738989,0.0001000019,0.0001302035,0.0000284324,0.0005284312,0.0001380474,0.0004557788,0.0001420519,0.00001068053],"category_scores_gemma":[0.0002704641,0.00005775644,0.00005139616,0.0002899279,0.0003197233,0.0004057664,0.00006265379,0.0003345098,6.284836e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005636097,"about_ca_system_score_gemma":0.0001742976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003992404,"about_ca_topic_score_gemma":0.00420169,"domain_scores_codex":[0.9989719,0.0001206358,0.0002065301,0.0001539232,0.0002833386,0.0002636895],"domain_scores_gemma":[0.9993129,0.0002517295,0.0001277363,0.0002430663,0.00004694442,0.00001766019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002319229,0.0007923078,0.4516748,0.0008724864,0.000370853,0.00007103428,0.244946,0.00660869,0.0596976,0.1274149,0.05814567,0.04917384],"study_design_scores_gemma":[0.0004600197,0.00001792919,0.7938572,0.0004771402,0.00005237361,0.000001453827,0.01577336,0.00003831611,0.01649859,0.0168548,0.1557498,0.000219104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695714,0.001858489,0.00001236459,0.01016998,0.000422574,0.0002029741,0.00001812653,0.00001970107,0.01772437],"genre_scores_gemma":[0.9984858,0.0001496718,0.0002584198,0.0008386655,0.0001026308,0.000003794998,0.00000433575,0.000004422054,0.0001522464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3421824,"threshold_uncertainty_score":0.6035348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892861102909869,"score_gpt":0.3123365237507484,"score_spread":0.2934079127216497,"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."}}