{"id":"W1973686628","doi":"10.1046/j.1523-1739.2002.00004.x","title":"Use of Fragmented Landscapes by Marbled Murrelets for Nesting in Southern Oregon","year":2002,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; Centre for Transportation Engineering and Planning; Andrew W. Mellon Foundation; U.S. Environmental Protection Agency","keywords":"Geography; Habitat; Seabird; Bay; Fragmentation (computing); Old-growth forest; Vegetation (pathology); Ecology; Fishery; Forestry; Predation; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008731292,0.00005931722,0.000104102,0.00002213804,0.00003490847,0.000002379422,0.0000631762,0.0001049298,0.00128456],"category_scores_gemma":[0.0001110568,0.00005151939,0.00001876644,0.0000892803,0.00008870006,0.00005718213,0.00002592659,0.00004369741,0.00006270313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001947584,"about_ca_system_score_gemma":0.000001963526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001286346,"about_ca_topic_score_gemma":0.0005069109,"domain_scores_codex":[0.9994912,0.00004876163,0.0001709166,0.0001382336,0.00002213322,0.0001287905],"domain_scores_gemma":[0.9996344,0.0001802805,0.00008915404,0.00007178764,0.000007413286,0.00001699933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000150542,0.00005761359,0.961045,0.000002315609,0.00000189943,4.104505e-7,0.0001232718,0.00001438234,0.03374502,0.00001518496,0.00246893,0.002510977],"study_design_scores_gemma":[0.001021986,0.0001744076,0.974112,0.00001072521,0.00001329074,0.000003148726,0.00009776333,0.008219275,0.002196989,0.0001954588,0.0138012,0.0001536939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985417,0.00001676903,0.0003815999,0.0007303618,0.00004524892,0.0001827476,0.00002761813,0.00001317594,0.00006078948],"genre_scores_gemma":[0.9979163,0.000004931462,0.0008632948,0.0004775434,0.000005566219,0.00003353929,0.00005102105,0.000004448232,0.0006434023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03154803,"threshold_uncertainty_score":0.9996284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04335651170741346,"score_gpt":0.2433000939179099,"score_spread":0.1999435822104965,"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."}}