{"id":"W2567902217","doi":"10.1371/journal.pone.0167945","title":"Goldilocks and the Raster Grid: Selecting Scale when Evaluating Conservation Programs","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"University of Illinois at Urbana-Champaign; Universidad Nacional Autónoma de México","keywords":"Context (archaeology); Scale (ratio); Computer science; Variable (mathematics); Econometrics; Dilemma; Grid; Statistics; Raster graphics; Mathematics; Geography; Cartography","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":[],"consensus_categories":[],"category_scores_codex":[0.05865834,0.0005592395,0.001014322,0.001400438,0.001027265,0.003031313,0.00158372,0.001482793,0.002212343],"category_scores_gemma":[0.2525435,0.0003611546,0.0009302492,0.003226633,0.004046013,0.004485428,0.002043675,0.001311803,0.0001380887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002556726,"about_ca_system_score_gemma":0.001776947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01373361,"about_ca_topic_score_gemma":0.02265289,"domain_scores_codex":[0.9218401,0.07173514,0.001232935,0.001477498,0.003178795,0.0005353894],"domain_scores_gemma":[0.803515,0.171987,0.009036849,0.009512754,0.005273048,0.0006753029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001620338,0.0003078034,0.2995576,0.001270306,0.00100852,0.0005423496,0.004770697,0.1689185,0.002893389,0.1850951,0.006674246,0.3273413],"study_design_scores_gemma":[0.001031714,0.00222339,0.1769858,0.001954352,0.000854884,0.0003488041,0.006888618,0.4323378,0.01141926,0.3419149,0.02368091,0.0003596527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5274316,0.003579138,0.4287963,0.01387483,0.0004417726,0.001598931,0.0007882041,0.0004556756,0.02303354],"genre_scores_gemma":[0.8266721,0.000484371,0.171,0.0005304637,0.00005479968,0.0005876426,0.0001089551,0.00007450787,0.0004871828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05865834,"threshold_uncertainty_score":0.3102187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05199945691451369,"score_gpt":0.2046254020775365,"score_spread":0.1526259451630228,"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."}}