{"id":"W2905748314","doi":"10.1139/cjz-2018-0167","title":"Predicting seasonal occurrence of leatherback turtles (<i>Dermochelys coriacea</i>) in eastern Canadian waters from turtle and ocean sunfish (<i>Mola mola</i>) sighting data and habitat characteristics","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Turtle (robot); Habitat; Fishery; Aerial survey; Context (archaeology); Population; Ecology; Geography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003995375,0.0001321809,0.0002481652,0.00009912864,0.0001263922,0.00002898265,0.0003540945,0.0001510661,0.0001599253],"category_scores_gemma":[0.0002416939,0.0001244001,0.00001802096,0.00009978184,0.0006940168,0.0002510113,0.00007795672,0.0002489962,0.000008399197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001091824,"about_ca_system_score_gemma":0.0003487764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1402098,"about_ca_topic_score_gemma":0.8298087,"domain_scores_codex":[0.9988229,0.0001242411,0.0003663111,0.0002559531,0.00008315172,0.0003474881],"domain_scores_gemma":[0.9989334,0.0001315293,0.0002475571,0.0001880756,0.00004050757,0.0004589793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003092993,0.000004571014,0.9952892,0.000004831607,0.00001753885,0.00008003011,0.001058134,0.000002290492,0.0005810277,0.000006377471,0.0004622765,0.002462759],"study_design_scores_gemma":[0.0003310485,0.000143041,0.9962497,0.00005868791,0.00002812548,0.0001661097,0.0003543314,0.001201238,0.000101103,0.0002262251,0.001014297,0.0001261363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979333,0.0002490305,0.00002374403,0.0006883187,0.0004106276,0.00006630578,0.0004564238,0.000002314709,0.0001699022],"genre_scores_gemma":[0.9990895,0.00002720123,0.0002721966,0.0003864665,0.0001357101,3.518734e-7,0.00005467427,0.000007595945,0.00002633094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6895989,"threshold_uncertainty_score":0.8655156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676497565113762,"score_gpt":0.2122952010185054,"score_spread":0.1955302253673677,"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."}}