{"id":"W2040075731","doi":"10.1007/s00300-013-1376-7","title":"Seasonal observations and machine-learning-based spatial model predictions for the common raven (Corvus corax) in the urban, sub-arctic environment of Fairbanks, Alaska","year":2013,"lang":"en","type":"article","venue":"Polar Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Arctic; Ecology; Corvidae; Habitat; Geography; Fishery; Physical geography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003640476,0.00009092907,0.0001051589,0.0000187888,0.0002402313,0.000008330155,0.0001848569,0.00009746371,0.0001322984],"category_scores_gemma":[0.0001045272,0.00005934514,0.00003744779,0.00006470668,0.0003603721,0.00006305151,0.00006106422,0.0001769718,0.00001520673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005303631,"about_ca_system_score_gemma":0.00002118415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002647562,"about_ca_topic_score_gemma":0.002142687,"domain_scores_codex":[0.9992048,0.000195015,0.0001797054,0.0001695076,0.00008119451,0.0001698475],"domain_scores_gemma":[0.9991444,0.0005612338,0.0000963052,0.0001649155,0.000007436621,0.00002568973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002062768,0.00006789758,0.977253,0.000003255828,0.00001061805,8.968824e-8,0.0001700913,0.02069977,0.0003945374,0.0002508582,0.0006092151,0.000520074],"study_design_scores_gemma":[0.0002182845,0.00009961509,0.6007414,0.000001444853,0.00001663598,0.000001088436,0.00002427068,0.3967346,0.00001600129,0.0009925324,0.001115762,0.00003840609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562706,0.000149529,0.03507612,0.007624238,0.00005146577,0.0006869866,0.00009522918,0.0000108333,0.00003498407],"genre_scores_gemma":[0.9980638,0.00003253533,0.000379691,0.001068763,0.00002158945,0.0002657378,0.0001133936,0.000006148883,0.00004835529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3765116,"threshold_uncertainty_score":0.400234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215928961652936,"score_gpt":0.2116745018984473,"score_spread":0.1900816057331537,"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."}}