{"id":"W6969574345","doi":"10.5683/sp3/lcog2g","title":"Replication Data for: No Data? No worries! How image generation can alleviate image scarcity in wildlife surveys: a case study with muskox (Ovibos moschatus)","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Python (programming language); Scripting language; Image (mathematics); Annotation; Scarcity; Aerial image; Wildlife","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":[0.003134237,0.0009115213,0.0006806834,0.001557527,0.0009995374,0.001785171,0.002318235,0.001564489,0.03471062],"category_scores_gemma":[0.01580107,0.0004531898,0.001025228,0.00211818,0.000597922,0.001239791,0.001914805,0.001396817,0.03632425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248443,"about_ca_system_score_gemma":0.002029422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03942079,"about_ca_topic_score_gemma":0.1084856,"domain_scores_codex":[0.9986337,0.0003620288,0.0001559867,0.000342842,0.0003430481,0.0001623283],"domain_scores_gemma":[0.9935452,0.001836229,0.0004448112,0.00227091,0.001517993,0.0003847709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006932188,0.00003293843,0.001749265,0.000317263,0.00002767205,0.0000254646,0.00006941682,0.000221808,0.0001561484,0.0007165393,0.9929724,0.003641775],"study_design_scores_gemma":[0.0003072934,0.00002341711,0.01236498,0.0002971204,0.00003696706,0.00007633078,0.0002790168,0.001033996,0.0006583413,0.00248313,0.9823929,0.00004648578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001023761,0.00007161395,0.000623783,0.0004985768,0.0001297404,0.00006263597,0.9939259,0.001522506,0.002141449],"genre_scores_gemma":[0.003094685,0.00005556738,0.002886396,0.0002425901,0.00002504446,0.0003766665,0.9908302,0.0004405844,0.002048325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03942079,"threshold_uncertainty_score":0.1161186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08673160627305321,"score_gpt":0.2872958102859158,"score_spread":0.2005642040128626,"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."}}