{"id":"W2068727316","doi":"10.1016/j.biocon.2005.04.006","title":"Incorporating uncertainty into analyses of red-crested pochard habitat selection","year":2005,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; Fonds de Recherche du Québec - Santé","keywords":"Habitat; Brood; Ecology; Biology; Selection (genetic algorithm); Habitat fragmentation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000411103,0.0001064006,0.0001540941,0.00003742,0.0001526695,0.000009234285,0.0001127278,0.0001651461,0.0005116449],"category_scores_gemma":[0.0004919604,0.0000854235,0.00005047452,0.0004073208,0.0002082994,0.0002339276,0.00006208656,0.0001027179,0.00008956196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241917,"about_ca_system_score_gemma":0.0000194406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005746541,"about_ca_topic_score_gemma":0.001489356,"domain_scores_codex":[0.9989364,0.0001941228,0.0003645862,0.0002458071,0.0001240824,0.0001350003],"domain_scores_gemma":[0.9993676,0.0001807953,0.0002621199,0.0001041162,0.0000444522,0.00004091389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006230468,0.00005038007,0.8786902,0.000002486183,0.000008861763,3.060509e-7,0.00002741239,0.002046992,0.114611,0.0004375398,0.001215774,0.002846808],"study_design_scores_gemma":[0.0001996382,0.0001717451,0.9771455,0.000006319843,0.00001129052,0.000002129534,0.00003107193,0.01442691,0.004659411,0.002132616,0.001106145,0.0001072068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932232,0.00001534645,0.001563779,0.004138636,0.00004250021,0.0001626275,0.000001609993,0.00006525996,0.0007869904],"genre_scores_gemma":[0.9923136,0.00000638707,0.005803103,0.001670872,0.00005188469,0.00002295187,0.00005829764,0.000003831221,0.00006902011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1099515,"threshold_uncertainty_score":0.5602152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05586320982887089,"score_gpt":0.2962033709055535,"score_spread":0.2403401610766826,"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."}}