{"id":"W2891270145","doi":"10.22230/jem.2018v18n1a593","title":"The Reliability and Application of Methods Used to Predict Suitable Nesting Habitat for Marbled Murrelets","year":2018,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western Forest Products; Ministry of Forests; Simon Fraser University; University of Victoria","funders":"","keywords":"Habitat; Nest (protein structural motif); Scale (ratio); Vegetation (pathology); Environmental science; Ecology; Threatened species; Geography; Canopy; Aerial survey; Physical geography; Cartography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01321109,0.0009583246,0.0006236177,0.003364543,0.0004769116,0.001450761,0.0007473781,0.0006088298,0.000445033],"category_scores_gemma":[0.03591791,0.0003879021,0.0007335425,0.001398179,0.0007089346,0.001235365,0.0009987273,0.0005533242,0.0004600851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006181602,"about_ca_system_score_gemma":0.000465094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009532205,"about_ca_topic_score_gemma":0.01643629,"domain_scores_codex":[0.9912436,0.003630754,0.0007933605,0.001616236,0.002502686,0.0002132854],"domain_scores_gemma":[0.9680047,0.01629144,0.005716559,0.002349747,0.007198101,0.0004394187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001875993,0.0000247845,0.9419226,0.0001872711,0.0003144317,0.00005866841,0.0005227137,0.004832101,0.001847237,0.0001359513,0.000427725,0.04953899],"study_design_scores_gemma":[0.00001706543,0.000319779,0.9230502,0.0002026072,0.0001703181,0.0005052807,0.001108443,0.06703122,0.003910939,0.0007230907,0.002881066,0.0000801261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9010236,0.003632863,0.08822989,0.0002075743,0.0001232514,0.0002196997,0.00104299,0.0004904208,0.005029832],"genre_scores_gemma":[0.9685975,0.0007893877,0.02931484,0.00005898407,0.00003307665,0.00007298196,0.0005973176,0.00005128878,0.0004847815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01321109,"threshold_uncertainty_score":0.06986773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929974564065882,"score_gpt":0.3123543903317777,"score_spread":0.2830546446911189,"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."}}