{"id":"W7079738136","doi":"10.26108/tdwx-at64","title":"Wind drift and the use of radar, acoustics, and Canadian Migration Monitoring Network methods for monitoring nocturnal passerine migration","year":2006,"lang":"en","type":"article","venue":"AcadiaU-DEV","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nocturnal; Passerine; Bird migration; Radar; Observatory; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005935458,0.0001307196,0.0001708482,0.00004793226,0.0002830641,0.0001603315,0.0001972012,0.0001093831,7.131042e-7],"category_scores_gemma":[0.0002496891,0.000104149,0.00003529053,0.0001690747,0.00007829649,0.0003125131,0.00006324389,0.0001449206,1.509744e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000279272,"about_ca_system_score_gemma":0.00006136733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01769191,"about_ca_topic_score_gemma":0.003442611,"domain_scores_codex":[0.9990477,0.00008474584,0.000251175,0.000238106,0.00009181529,0.0002864437],"domain_scores_gemma":[0.998892,0.0005268849,0.0001351877,0.0002108055,0.0001381139,0.0000969898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001439105,0.00004674523,0.6268469,0.0003064105,0.0001952086,0.0000161271,0.003550987,0.07316118,0.07892153,0.03284029,0.005786475,0.1781842],"study_design_scores_gemma":[0.001870975,0.0001083627,0.5446396,0.0002040218,0.0001174755,0.0000630212,0.0001556973,0.249875,0.05028927,0.03301978,0.1190304,0.0006264147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5401786,0.001670945,0.4501094,0.006494134,0.0008892716,0.000462942,0.000007106521,0.00004738503,0.0001401783],"genre_scores_gemma":[0.7600296,0.000136432,0.2389578,0.0000348992,0.0006441704,0.00001269372,0.000004448074,0.00000369647,0.0001762568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.219851,"threshold_uncertainty_score":0.9888493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779369967646792,"score_gpt":0.2712406189940366,"score_spread":0.2434469193175687,"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."}}