{"id":"W2075203254","doi":"10.1890/09-0460.1","title":"Multiscale codependence analysis: an integrated approach to analyze relationships across scales","year":2010,"lang":"en","type":"article","venue":"Ecology","topic":"Data Analysis with R","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Ecology; Scale (ratio); Geography; Computer science; Biology; 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":[0.00349623,0.0009530571,0.001416188,0.004021875,0.0005243991,0.001606364,0.001432389,0.0007301898,0.001230226],"category_scores_gemma":[0.01495893,0.0005288253,0.001480462,0.002791561,0.001374877,0.002124626,0.002286028,0.001368193,0.0002024259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005377944,"about_ca_system_score_gemma":0.001038678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002947574,"about_ca_topic_score_gemma":0.001991621,"domain_scores_codex":[0.9987508,0.0004733896,0.00008843294,0.0003257117,0.0002910368,0.00007060204],"domain_scores_gemma":[0.991924,0.004989711,0.001130423,0.001281232,0.0004646897,0.000209968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00019948,0.0001989709,0.04512157,0.0006186927,0.001573981,0.0007648816,0.001300876,0.2400092,0.04652065,0.2223204,0.004643414,0.4367279],"study_design_scores_gemma":[0.0000193739,0.00007737354,0.01110678,0.00003218265,0.00009439065,0.0002351971,0.00008206098,0.8430349,0.00225745,0.1393685,0.00362218,0.00006958251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008523203,0.0001254916,0.9906159,0.00007969376,0.00001279939,0.00002621231,0.00007904689,0.00026681,0.0002708073],"genre_scores_gemma":[0.2689351,0.0003351606,0.7292969,0.000132768,0.0001036492,0.0003541354,0.0002870068,0.0002096919,0.0003454851],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004021875,"threshold_uncertainty_score":0.01849008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02587042978143286,"score_gpt":0.299021606548138,"score_spread":0.2731511767667051,"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."}}