{"id":"W7095713610","doi":"","title":"Green sturgeon distribution in the Pacific ocean estimated from modeled oceanographic features and migration behavior. PLoS ONE 7(9): e45852","year":2012,"lang":"en","type":"article","venue":"","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sturgeon; Habitat; Latitude; Abiotic component; Overwintering; Continental shelf; Distribution (mathematics); Acipenser","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003707707,0.0001742579,0.0001761014,0.0001560664,0.0001977354,0.0001312901,0.0007271859,0.0001421758,0.000002679866],"category_scores_gemma":[0.000048851,0.0001303648,0.00003811771,0.0005467982,0.0001193424,0.0005778344,0.0001750051,0.0002594367,0.000005675955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005671666,"about_ca_system_score_gemma":0.00001563544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004253931,"about_ca_topic_score_gemma":0.0001568161,"domain_scores_codex":[0.9986776,0.000125274,0.000217399,0.0003140564,0.000341549,0.0003241878],"domain_scores_gemma":[0.9990737,0.0001175596,0.00009274553,0.0006138067,0.00005010236,0.00005212765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003389948,0.00193342,0.9019818,0.00003227941,0.00006802331,0.00001987723,0.009890796,0.000112893,0.003725108,0.04094513,0.01110862,0.03014816],"study_design_scores_gemma":[0.0004065318,0.0001182319,0.9150034,0.00006282925,0.00004999336,0.00001665146,0.0003216148,0.07623309,0.002284221,0.004914619,0.0002040507,0.0003847389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650545,0.0005628673,0.03160734,0.001596549,0.00008365656,0.0003145862,0.000009808037,0.0006911601,0.00007953071],"genre_scores_gemma":[0.9863412,0.00002372538,0.01345143,0.00004985174,0.00002580293,0.00001253842,0.00006368235,0.000006789699,0.00002502831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0761202,"threshold_uncertainty_score":0.5316123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0323713150818524,"score_gpt":0.2349084226201137,"score_spread":0.2025371075382613,"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."}}