{"id":"W4393854813","doi":"10.7202/1110196ar","title":"Contribution du drone aux suivis de la productivité de l’aigle royal et du faucon pèlerin","year":2024,"lang":"fr","type":"article","venue":"Le Naturaliste canadien","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001332792,0.0003365661,0.0002425871,0.000953609,0.0004931192,0.0006998846,0.0003345515,0.0003447623,0.009059339],"category_scores_gemma":[0.002768604,0.0001751849,0.0006259275,0.0005275325,0.0004357965,0.0002852081,0.0008327863,0.0009380874,0.0009673126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009337798,"about_ca_system_score_gemma":0.0008096877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0285272,"about_ca_topic_score_gemma":0.04007326,"domain_scores_codex":[0.9991319,0.0003166938,0.00004318509,0.0001231426,0.0002342512,0.0001507904],"domain_scores_gemma":[0.9975344,0.0006056826,0.000744765,0.0001274857,0.0005582556,0.0004293552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001825816,0.0002779713,0.7642697,0.0005407008,0.0007888622,0.001130322,0.004141328,0.0003123319,0.007945933,0.002049547,0.005274567,0.2114429],"study_design_scores_gemma":[0.00001876035,0.0007098796,0.9507936,0.0002190217,0.0002471609,0.002154213,0.001866785,0.0002802661,0.001701906,0.0003802085,0.04159966,0.00002861499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453721,0.02048142,0.0003768567,0.001813491,0.0001766602,0.00003260811,0.001592389,0.00002153142,0.03013283],"genre_scores_gemma":[0.9647282,0.01016343,0.0004863733,0.0001691948,0.0000563247,0.00001724678,0.0007673035,0.0000230735,0.02358877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0285272,"threshold_uncertainty_score":0.05672228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00582978050014144,"score_gpt":0.2371815822453766,"score_spread":0.2313518017452351,"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."}}