{"id":"W4403770108","doi":"10.5194/gmd-17-7423-2024","title":"Learning from conceptual models – a study of the emergence of cooperation towards resource protection in a social–ecological system","year":2024,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Seventh Framework Programme; Université de Montréal; European Commission","keywords":"Resource (disambiguation); Conceptual model; Environmental resource management; Ecology; Business; Computer science; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007559541,0.000100681,0.0001709327,0.00004784761,0.0002443692,0.000034221,0.0002190887,0.00005971673,0.0001232986],"category_scores_gemma":[0.00000781758,0.00006546325,0.0000338051,0.0005054218,0.00003706907,0.0001486976,0.0003211284,0.0001161478,0.00001911605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001444455,"about_ca_system_score_gemma":0.00006295518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158464,"about_ca_topic_score_gemma":0.001747039,"domain_scores_codex":[0.9983852,0.0001531448,0.0004601391,0.0003784919,0.0004577772,0.0001652527],"domain_scores_gemma":[0.9997127,0.0000114507,0.0001045621,0.0001289956,0.00001761437,0.00002467643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002093155,0.0002529296,0.003117132,0.00009695785,0.00001906447,0.000002117184,0.05988128,0.9293116,0.003423622,0.0001147424,0.0001354257,0.003624173],"study_design_scores_gemma":[0.0001751597,0.00003787131,0.01160966,0.00009727974,0.0000100994,4.965224e-7,0.008848832,0.9780035,0.0008695762,0.00007936711,0.0001733378,0.00009479095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928294,0.00002151847,0.005421717,0.00002573665,0.0002263504,0.0006323772,0.000006779904,0.00003251494,0.0008035858],"genre_scores_gemma":[0.9994172,9.984338e-7,0.0001912991,0.000004464622,0.000009410955,0.0001192113,0.000007167497,0.000006012118,0.0002442512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05103245,"threshold_uncertainty_score":0.2669514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04433424876882368,"score_gpt":0.2270981332529135,"score_spread":0.1827638844840898,"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."}}