{"id":"W1996651208","doi":"10.1016/j.scitotenv.2014.08.059","title":"Temporal constraints on predation risk assessment in a changing world","year":2014,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Centre of Excellence for Coral Reef Studies, Australian Research Council; Australian Research Council","keywords":"Damselfish; Biodiversity; Predation; Ocean acidification; ALARM; Coral reef; Environmental science; Ecology; Habitat; Biology; Vulnerability (computing); Sensory cue; Biota; Predator; Coral reef fish; Climate change; Computer science; Computer security; Neuroscience","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":[0.006393035,0.0002114117,0.0003004989,0.001073149,0.0006403118,0.003039238,0.0008071674,0.0009384454,0.003737895],"category_scores_gemma":[0.04808719,0.0003915217,0.0004065326,0.001037522,0.0009814622,0.002120291,0.001121603,0.0009089754,0.0001418591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587215,"about_ca_system_score_gemma":0.0007236497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019545,"about_ca_topic_score_gemma":0.05278949,"domain_scores_codex":[0.9990546,0.0004510172,0.00009007123,0.0001442918,0.0001548881,0.000105104],"domain_scores_gemma":[0.9619887,0.02980544,0.004611903,0.001081303,0.001591573,0.0009210352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001350226,0.0002142813,0.7638164,0.0001316089,0.0005783273,0.0008398754,0.0009770994,0.1488023,0.004511332,0.03759765,0.0009320445,0.04024882],"study_design_scores_gemma":[0.00004266009,0.0002253357,0.6195322,0.00008204664,0.0002228405,0.0006337676,0.002395475,0.2965747,0.0009531025,0.07729442,0.001958561,0.00008494132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874269,0.0003237555,0.006477827,0.0005909533,0.00001304987,0.0000114461,0.0002331807,0.00001101625,0.004911787],"genre_scores_gemma":[0.9976557,0.0001071002,0.001760506,0.0000389454,0.000009617385,0.000007524737,0.00008533637,0.000009193564,0.0003259988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02019545,"threshold_uncertainty_score":0.04015583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008773062457839499,"score_gpt":0.2144957740912467,"score_spread":0.2057227116334072,"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."}}