{"id":"W7095471769","doi":"","title":"Relationship between Habitat Quality and Occurrence of the Threatened Black Redhorse","year":2014,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Threatened species; Tributary; Habitat; Population; Water quality; Occupancy; Habitat destruction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003278211,0.00009322289,0.0001023171,0.0003583007,0.0002080594,0.0003035913,0.0001612123,0.0001964205,0.001854113],"category_scores_gemma":[0.001602369,0.0001122008,0.0001090619,0.0002471181,0.0002483835,0.0001947045,0.0002634434,0.000272554,0.0001153759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001913381,"about_ca_system_score_gemma":0.0001170558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01535801,"about_ca_topic_score_gemma":0.07136779,"domain_scores_codex":[0.9998353,0.00005203525,0.00001378779,0.00003979892,0.00002581465,0.00003319222],"domain_scores_gemma":[0.9984471,0.0003426541,0.0007743042,0.00007127798,0.0001173462,0.0002474111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000158112,0.0000126095,0.9991586,0.000002050212,0.00001257794,0.00002793429,0.00004836353,0.00004059744,0.0001212812,0.000009380117,0.00002671079,0.0005240245],"study_design_scores_gemma":[6.161749e-7,0.00002533998,0.9995683,0.000002028174,0.000003901721,0.00006178796,0.000127293,0.0001449008,0.00001183407,0.000006091534,0.00004718438,8.379347e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996755,0.0000335281,0.00002202255,0.00001819612,7.431074e-7,0.00000122085,0.0000449856,9.612958e-7,0.0002028889],"genre_scores_gemma":[0.999688,0.00002551861,0.00004754446,0.000007340701,0.000001235763,0.00000161013,0.00006476093,7.674652e-7,0.0001632961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01535801,"threshold_uncertainty_score":0.03053719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034611346391199,"score_gpt":0.348595137083611,"score_spread":0.2451340024444911,"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."}}