{"id":"W2155456258","doi":"10.1007/s10661-009-0855-3","title":"Using underwater cameras to assess the effects of snorkeler and SCUBA diver presence on coral reef fish abundance, family richness, and species composition","year":2009,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Centre for Asia-Pacific Initiatives; University of British Columbia; Kasetsart University; University of Victoria","keywords":"Scuba diving; Species richness; Abundance (ecology); Coral reef fish; Underwater; Coral reef; Reef; Fishery; Fish <Actinopterygii>; Coral; Biology; Artificial reef; Ecology; Environmental science; Oceanography; Zoology; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00087515,0.0004809913,0.0002619395,0.0004655839,0.0002553412,0.0002900217,0.0003296552,0.0004322232,0.001198017],"category_scores_gemma":[0.003342502,0.0003288983,0.0002816783,0.0003003402,0.0001955331,0.0003733465,0.0003148156,0.0003627702,0.0001777528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236302,"about_ca_system_score_gemma":0.0004582284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01093501,"about_ca_topic_score_gemma":0.04290717,"domain_scores_codex":[0.9995534,0.0001482467,0.00002243304,0.0001046068,0.0001198995,0.0000514732],"domain_scores_gemma":[0.9978448,0.001191172,0.000368216,0.000105299,0.0003309439,0.0001596669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003220757,0.002410509,0.777949,0.0002115251,0.0004927763,0.0002407372,0.0007139564,0.001858089,0.1030297,0.0000708752,0.000908332,0.1088937],"study_design_scores_gemma":[0.0001158101,0.002124342,0.983206,0.00001899974,0.0002135754,0.0002373421,0.0003452263,0.0041613,0.009108425,0.00004035546,0.0004015517,0.00002717607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980267,0.00007081023,0.0008537175,0.00002483185,0.000008171171,0.00004188396,0.00009363813,0.00001581473,0.0008643177],"genre_scores_gemma":[0.9925922,0.0002288486,0.005100342,0.0001004079,0.000009544112,0.0001407455,0.0002432805,0.00001126054,0.001573327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01093501,"threshold_uncertainty_score":0.0217427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02573304226399118,"score_gpt":0.2659234381898503,"score_spread":0.2401903959258591,"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."}}