{"id":"W158939777","doi":"10.1023/a:1006179424239","title":"Copper, Copper Mining Effluents and Grazing as Potential Determinants of Algal Abundance and Diversity in Northern Chile","year":2000,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Intertidal zone; Algae; Effluent; Ecology; Abundance (ecology); Juvenile; Biology; Environmental science; Environmental engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003991115,0.0001539911,0.0002017136,0.0007687393,0.0005025192,0.000647526,0.0003270996,0.0002537535,0.001022905],"category_scores_gemma":[0.001222498,0.000192633,0.0002012278,0.0009667198,0.0005637521,0.0003767038,0.0007517475,0.0002798441,0.0001046211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665883,"about_ca_system_score_gemma":0.001274697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1842521,"about_ca_topic_score_gemma":0.2416843,"domain_scores_codex":[0.9998575,0.00004683369,0.00001103035,0.00002651618,0.00001525725,0.00004274993],"domain_scores_gemma":[0.9993504,0.000199205,0.0001947446,0.00002572371,0.00008891804,0.0001410736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001084928,0.00005735256,0.9954609,0.00003035257,0.00003499058,0.000181173,0.001335892,0.0001677625,0.0006361149,0.00008640015,0.00009551402,0.001804946],"study_design_scores_gemma":[0.000003740997,0.00001547893,0.9969398,0.000008579649,0.000007440271,0.00003225705,0.002594004,0.0001563402,0.00004062849,0.00003009313,0.0001687874,0.000002898653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995826,0.00006039195,0.00001160771,0.00002357704,4.348454e-7,0.000002841417,0.00006703772,6.846757e-7,0.0002508537],"genre_scores_gemma":[0.9993468,0.00008039316,0.00003341561,0.00001242014,0.000001326319,0.00001008562,0.00009504509,7.681066e-7,0.0004197917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1842521,"threshold_uncertainty_score":0.3663592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008570329398883969,"score_gpt":0.217959359559485,"score_spread":0.209389030160601,"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."}}