{"id":"W4312089244","doi":"10.7717/peerj.14604","title":"Opening the black box of bird-window collisions: passive video recordings in a residential backyard","year":2022,"lang":"en","type":"article","venue":"PeerJ","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Collision; Window (computing); Range (aeronautics); Geography; Demography; Physical geography; Environmental science; Computer science; Computer security; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003313033,0.0003096587,0.0003067758,0.0008366139,0.0006043974,0.0004151207,0.0005637704,0.000626312,0.0007206952],"category_scores_gemma":[0.0008446375,0.0002191746,0.0002195368,0.0005028843,0.0004499243,0.0002917531,0.0005812697,0.0004421506,0.0003497522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003197396,"about_ca_system_score_gemma":0.0003065667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01176912,"about_ca_topic_score_gemma":0.04948835,"domain_scores_codex":[0.9997211,0.00005924043,0.00001482835,0.00009257668,0.00007047801,0.00004178935],"domain_scores_gemma":[0.9994732,0.0001064827,0.0001410615,0.0000418613,0.0001084895,0.0001289166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006858793,0.0008029868,0.8291914,0.0003856791,0.0002322466,0.004878922,0.02150158,0.001381603,0.08845665,0.0002253558,0.003542356,0.04871532],"study_design_scores_gemma":[0.000009414023,0.0002086177,0.9912521,0.00003605558,0.00002858192,0.0004774769,0.003444745,0.001745013,0.001686746,0.00004289651,0.001049249,0.00001911062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978187,0.00007011998,0.0006742965,0.00003074322,0.000007636875,0.0000344683,0.0005672831,0.00002678926,0.0007699198],"genre_scores_gemma":[0.9934117,0.000143148,0.004671925,0.00004545711,0.00002145009,0.00006289062,0.001021833,0.00001388517,0.0006077165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01176912,"threshold_uncertainty_score":0.0234012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282888896947345,"score_gpt":0.2453092184424275,"score_spread":0.232480329472954,"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."}}