{"id":"W4393261659","doi":"10.1002/pan3.10630","title":"A meta‐analysis of <scp>SES</scp> framework case studies: Identifying dyad and triad archetypes","year":2024,"lang":"en","type":"article","venue":"People and Nature","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dyad; Context (archaeology); Archetype; Novelty; Computer science; Data science; Abstraction; Psychology; Social psychology; Geography; Epistemology","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":[0.0003196148,0.0001263688,0.0004746145,0.0001037957,0.0001098438,0.00006686231,0.0000759652,0.0001598841,0.000141383],"category_scores_gemma":[0.00005618739,0.00008093915,0.0001797029,0.0008294744,0.00002159737,0.0001796723,0.0001529585,0.0002416439,0.00001315183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001128933,"about_ca_system_score_gemma":0.000003760626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000489286,"about_ca_topic_score_gemma":0.007346357,"domain_scores_codex":[0.9991578,0.00004556016,0.0001724346,0.0003062005,0.0001620691,0.0001559247],"domain_scores_gemma":[0.9990118,0.0007117425,0.00004768111,0.000153561,0.000008321552,0.00006690902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00006386048,0.0002999813,0.2515984,0.007077568,0.4946177,0.003649152,0.2246252,0.0006950189,0.001228758,0.002244169,0.007182751,0.006717419],"study_design_scores_gemma":[0.001431307,0.0004506963,0.09742743,0.0005812575,0.7434967,0.002191919,0.04180819,0.03756328,0.004120798,0.03758187,0.03218841,0.001158151],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8988258,0.1005943,0.00003308533,0.0001588086,0.0001027456,0.00008305613,0.00003906308,0.00002420967,0.0001388777],"genre_scores_gemma":[0.9951239,0.004329226,0.0002479587,0.0001241102,0.00003636462,0.0000117905,0.0000055025,0.000007501388,0.000113635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.248879,"threshold_uncertainty_score":0.409944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343729056854873,"score_gpt":0.3105005513404742,"score_spread":0.2761276456549869,"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."}}