{"id":"W6939277885","doi":"10.6084/m9.figshare.14773628","title":"Additional file 1 of Fusion of wildlife tracking and satellite geomagnetic data for the study of animal migration","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Tracking (education); Earth observation satellite; Satellite tracking; Satellite; Sensor fusion; Earth's magnetic field; Fusion","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001685603,0.0008349598,0.0008749887,0.002186862,0.0007152082,0.001317383,0.001866276,0.0009688834,0.8809195],"category_scores_gemma":[0.02436644,0.0005602895,0.0006116265,0.004492335,0.0002485112,0.001770859,0.0009734079,0.0008971539,0.2390461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009633013,"about_ca_system_score_gemma":0.001297608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009555112,"about_ca_topic_score_gemma":0.01175674,"domain_scores_codex":[0.9993843,0.0001170299,0.00009166316,0.0001693166,0.0001634553,0.00007432772],"domain_scores_gemma":[0.9832603,0.01256894,0.0006298394,0.001014427,0.002235967,0.0002905163],"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":[0.0001153191,0.00004867177,0.001311964,0.0007655815,0.00002141628,0.00003687987,0.0000342416,0.0008404616,0.00006661175,0.001303629,0.9882903,0.007164912],"study_design_scores_gemma":[0.002062584,0.0001772305,0.01635459,0.001523113,0.0001248721,0.000425275,0.000341226,0.00530715,0.001082058,0.02417021,0.9483045,0.000127252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001436294,0.00001274606,0.00078093,0.00008045093,0.00002326792,0.00005397096,0.997244,0.0002836979,0.001377383],"genre_scores_gemma":[0.007953824,0.00010538,0.005611373,0.0003021813,0.00008579556,0.0009462255,0.9737353,0.001417016,0.009842963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8809195,"threshold_uncertainty_score":0.1698539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05899674715481503,"score_gpt":0.2656879285357936,"score_spread":0.2066911813809786,"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."}}