{"id":"W4406602565","doi":"10.5751/es-15602-300111","title":"Constellating cultivation: texturing agroecological legacies with a mixed-methods approach in Hawaiʻi","year":2025,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Pacific and Southeast Asian Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Agroecology; Geography; Agroforestry; Environmental science; Environmental resource management; Agriculture; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01829494,0.00080366,0.0006018858,0.007304372,0.002783208,0.006113213,0.002987511,0.0009985575,0.00304077],"category_scores_gemma":[0.02324743,0.0007164143,0.000975706,0.004046327,0.00335236,0.003567755,0.006719523,0.001230672,0.0003699541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002954634,"about_ca_system_score_gemma":0.003182524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002734,"about_ca_topic_score_gemma":0.03444769,"domain_scores_codex":[0.987098,0.009916279,0.0005352566,0.001402455,0.000649601,0.0003984413],"domain_scores_gemma":[0.9806508,0.01263949,0.00258361,0.002161534,0.001432344,0.000532153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002570326,0.0006878929,0.08182517,0.001592937,0.0004195328,0.001321183,0.3466241,0.007504795,0.004673208,0.04888186,0.002374428,0.5038378],"study_design_scores_gemma":[0.0001431725,0.001059455,0.1277275,0.002913818,0.0004826913,0.0008949295,0.4630347,0.09882125,0.009152675,0.1997642,0.09553278,0.0004728686],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4511929,0.00138243,0.5242469,0.001519371,0.0001476087,0.003625612,0.0008538015,0.0003443487,0.016687],"genre_scores_gemma":[0.4593036,0.00032108,0.5342911,0.0002455951,0.00003239675,0.0032466,0.0003858231,0.0000834201,0.002090367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01829494,"threshold_uncertainty_score":0.09675407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786040915655111,"score_gpt":0.3307050526370473,"score_spread":0.3128446434804962,"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."}}