{"id":"W4394381589","doi":"10.6084/m9.figshare.1481062.v6","title":"Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant and fungal interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ungulate; Geography; Statistics; Environmental science; Ecology; Biology; Mathematics; Habitat","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001113731,0.001176674,0.0009505553,0.001679243,0.0005113393,0.001074453,0.001951735,0.00100363,0.029146],"category_scores_gemma":[0.005735808,0.0004124317,0.00158248,0.001905412,0.0002776733,0.0007901614,0.001062675,0.001214401,0.01828039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244579,"about_ca_system_score_gemma":0.001439377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03531102,"about_ca_topic_score_gemma":0.07684808,"domain_scores_codex":[0.9995043,0.0001141056,0.0000468535,0.0001941901,0.00006600531,0.00007454344],"domain_scores_gemma":[0.9981117,0.0008659888,0.000247083,0.0003334703,0.0003250405,0.0001166726],"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":[0.0004698583,0.00008886916,0.0458192,0.001716872,0.0005616227,0.00005991801,0.0001191177,0.003149092,0.0005351411,0.0008735256,0.9372913,0.009315469],"study_design_scores_gemma":[0.001514968,0.0001679856,0.2516012,0.0008496912,0.0007593787,0.0003060879,0.0005035867,0.00779947,0.001668375,0.003446373,0.7312343,0.000148687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003877213,0.0001416006,0.0002120037,0.0001265368,0.0000338921,0.00001304648,0.9945061,0.0003849666,0.0007046909],"genre_scores_gemma":[0.01188535,0.0001182042,0.001612965,0.00008611807,0.00001513587,0.0001160508,0.9844397,0.0001848904,0.001541621],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03531102,"threshold_uncertainty_score":0.09750313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0571016090057772,"score_gpt":0.2496034607470211,"score_spread":0.1925018517412439,"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."}}