{"id":"W4401164046","doi":"10.5194/gmd-2024-57-ac2","title":"Reply on RC2","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Promotion (chess); Intervention (counseling); Reinforcement learning; Agent-based model; Resource (disambiguation); Conceptual model; Social ecological model; Computer science; Conceptual framework; Class (philosophy); Environmental resource management; Environmental economics; Ecology; Artificial intelligence; Psychology; Sociology; Environmental science; Political science; Economics; Social science; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002411389,0.0008081379,0.001057849,0.001008504,0.002786909,0.003144767,0.002880273,0.0269817,0.09099343],"category_scores_gemma":[0.03132232,0.0005055351,0.001211231,0.0007933578,0.00179496,0.003290864,0.002018081,0.02148338,0.06565928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004123252,"about_ca_system_score_gemma":0.003269248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01139142,"about_ca_topic_score_gemma":0.01307333,"domain_scores_codex":[0.997764,0.0004114659,0.0002737524,0.0003683114,0.0008084466,0.0003739738],"domain_scores_gemma":[0.9921335,0.002614463,0.0003121703,0.0004076214,0.003412376,0.001119912],"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":[0.00001430973,0.000004555467,0.00006887764,0.00001889522,0.00000250051,0.0001244079,0.00001573251,0.000006693977,0.00003015361,0.000271827,0.9977658,0.001676305],"study_design_scores_gemma":[0.0000142441,0.00001150342,0.0003536493,0.00006460313,0.00000545742,0.0001769598,0.0001077961,0.00005450614,0.0001246201,0.0007211438,0.9983474,0.00001800702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0003064159,0.0010036,0.0002150307,0.8799991,0.1032676,0.0001058034,0.0005262761,0.0002680513,0.01430814],"genre_scores_gemma":[0.003246745,0.0007208899,0.0002062634,0.888771,0.03865819,0.00016775,0.0002062884,0.0001561869,0.06786671],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9090066,"threshold_uncertainty_score":0.3044034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075078512416484,"score_gpt":0.2661485250869688,"score_spread":0.245397739962804,"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."}}