{"id":"W4240413975","doi":"10.22215/etd/2021-14464","title":"Unsupervised Machine Learning as a Tool for Exploratory Analysis of Acoustic Telemetry Data: A Case Study With Northern Pike in Toronto Harbour","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Telemetry; Computer science; Cluster analysis; Biotelemetry; Human–computer interaction; Principal component analysis; Data science; Machine learning; Data mining; Artificial intelligence; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002122236,0.0003317904,0.0003533982,0.0008128053,0.003201155,0.001239393,0.0009710038,0.0009275714,0.0009607084],"category_scores_gemma":[0.004176467,0.0002119977,0.0003045308,0.00189641,0.001461795,0.0006156543,0.000939335,0.0007511034,0.0002767014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004023204,"about_ca_system_score_gemma":0.003674046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3041709,"about_ca_topic_score_gemma":0.7008968,"domain_scores_codex":[0.9986296,0.0006985033,0.00005583935,0.0001696864,0.0002590764,0.0001873845],"domain_scores_gemma":[0.9970899,0.001807164,0.0001956105,0.0001666611,0.0003738218,0.0003667759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004600518,0.001159235,0.4542923,0.0006080897,0.0002272674,0.04612719,0.1913042,0.02372747,0.01233016,0.004979741,0.01713281,0.2476514],"study_design_scores_gemma":[0.00006274725,0.0007442284,0.6345422,0.0001674783,0.00009994893,0.005404949,0.2346642,0.0718952,0.005674046,0.002776146,0.04377519,0.0001937263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876214,0.0001153478,0.006765753,0.001166071,0.000008945609,0.0001471291,0.0003067406,0.00009053867,0.003778096],"genre_scores_gemma":[0.9661065,0.0002414023,0.02649947,0.0001123903,0.00001289205,0.00006656651,0.0003557004,0.00006375441,0.006541261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6958292,"threshold_uncertainty_score":0.6048008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348637842927676,"score_gpt":0.3435231643294497,"score_spread":0.310036785900173,"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."}}