{"id":"W3047866652","doi":"10.1186/s40317-020-00215-x","title":"Identification of predation events in wild fish using novel acoustic transmitters","year":2020,"lang":"en","type":"article","venue":"Animal Biotelemetry","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Predation; Telemetry; Prey detection; Biology; Predator; Perch; Ecology; Habitat; Fish <Actinopterygii>; Fishery; Computer science; Telecommunications","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":[0.0006866241,0.0002305645,0.0002045055,0.0008519889,0.0002379248,0.0003265124,0.000310937,0.0002829007,0.0004640484],"category_scores_gemma":[0.00141507,0.000238994,0.0001807556,0.0003124761,0.000354434,0.000359176,0.0002800005,0.0001903995,0.0001454208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002790848,"about_ca_system_score_gemma":0.0001645028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001749709,"about_ca_topic_score_gemma":0.005554451,"domain_scores_codex":[0.9996928,0.0000576983,0.00003223041,0.0001232096,0.00006926907,0.00002484599],"domain_scores_gemma":[0.9981319,0.0004562651,0.0008928677,0.00007947091,0.0003329121,0.0001065961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001118453,0.00005646859,0.9556421,0.00003533745,0.00003917143,0.0001242452,0.0003192057,0.0001903096,0.03600439,0.00001352408,0.00003082613,0.007432557],"study_design_scores_gemma":[0.000004046865,0.0005317967,0.9926925,0.000009029911,0.00002936943,0.0003130693,0.0002744819,0.0007852262,0.005213769,0.00001944085,0.0001185943,0.000008679154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990761,0.00006938953,0.000596452,0.000005045234,0.000002439311,0.000009846955,0.00004776542,0.000005776837,0.0001872165],"genre_scores_gemma":[0.9969307,0.0000636561,0.002676142,0.00001326944,0.00000697592,0.00002089787,0.00008076901,0.000002291109,0.0002053134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001749709,"threshold_uncertainty_score":0.003631294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015205647888034,"score_gpt":0.239477412076174,"score_spread":0.2193253555972937,"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."}}