{"id":"W2886456951","doi":"10.5751/es-10280-230323","title":"Frontiers in socio-environmental research: components, connections, scale, and context","year":2018,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; National Socio-Environmental Synthesis Center; National Science Foundation","keywords":"Context (archaeology); Scale (ratio); Ecology; Geography; Environmental ethics; Environmental resource management; Regional science; Biology; Environmental science; Archaeology; Philosophy; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03144742,0.0008170031,0.001844497,0.008385511,0.003096916,0.01410365,0.00148194,0.002589108,0.005822405],"category_scores_gemma":[0.03057774,0.0008045745,0.0006451685,0.01449948,0.03412688,0.02031174,0.01136478,0.005099582,0.0004700323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004632351,"about_ca_system_score_gemma":0.00594161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004021008,"about_ca_topic_score_gemma":0.00687436,"domain_scores_codex":[0.98665,0.008152599,0.0006406629,0.001585857,0.002143347,0.0008274601],"domain_scores_gemma":[0.9359676,0.0491662,0.003800476,0.004034216,0.003502759,0.003528703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001187024,0.0001312112,0.04240036,0.002828999,0.0002264392,0.0003631081,0.02468713,0.0009093001,0.00117106,0.6462541,0.01552509,0.2653846],"study_design_scores_gemma":[0.00001745357,0.00006262657,0.04560392,0.002296565,0.00006937856,0.0004169174,0.02753043,0.001206315,0.0001698329,0.856141,0.06639466,0.00009080976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1013648,0.442053,0.05609762,0.3198884,0.002673075,0.0001938886,0.001381997,0.0002853438,0.07606197],"genre_scores_gemma":[0.9111301,0.06522916,0.01618131,0.00407399,0.001710595,0.0002019954,0.0002952289,0.00006382319,0.001113697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03144742,"threshold_uncertainty_score":0.1663119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970227342389966,"score_gpt":0.2461570328257159,"score_spread":0.2264547594018163,"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."}}