{"id":"W2024395005","doi":"10.1007/s00338-004-0377-y","title":"Has random sampling been neglected in coral reef faunal surveys?","year":2004,"lang":"en","type":"article","venue":"Coral Reefs","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Coral reef; Coral; Reef; Oceanography; Sampling (signal processing); Fishery; Cnidaria; Geography; Ecology; Geology; Environmental science; Biology; Computer science","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2768891,0.00110127,0.002992192,0.002060274,0.001471618,0.003686269,0.00611988,0.004769248,0.003929007],"category_scores_gemma":[0.6173716,0.001700153,0.001648106,0.00478798,0.01189381,0.01276812,0.003397152,0.004365699,0.001007632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002933799,"about_ca_system_score_gemma":0.003944828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00911483,"about_ca_topic_score_gemma":0.009396144,"domain_scores_codex":[0.8392239,0.1358496,0.006500647,0.007381515,0.01001316,0.001031144],"domain_scores_gemma":[0.3920289,0.5395486,0.01781992,0.03311216,0.01577871,0.001711759],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004192147,0.0001206079,0.03383154,0.003212066,0.0005938322,0.0003348462,0.00372297,0.01408821,0.0003902761,0.5305586,0.01828365,0.3944441],"study_design_scores_gemma":[0.0003113659,0.0006285004,0.01804319,0.00269484,0.0004521215,0.002122816,0.001820059,0.06759613,0.001237336,0.8137051,0.09121058,0.0001780851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01987791,0.01821911,0.8700598,0.08117457,0.003273214,0.0003558023,0.0002429802,0.0003565343,0.006439978],"genre_scores_gemma":[0.4627213,0.02941539,0.4404508,0.04341555,0.0138518,0.001603896,0.0004397594,0.0005319231,0.007569643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7231109,"threshold_uncertainty_score":0.8917245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2515569302831572,"score_gpt":0.3873813148324256,"score_spread":0.1358243845492684,"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."}}