{"id":"W6922000741","doi":"10.1051/e3sconf/202343611010/pdf","title":"Road network, CO","year":2023,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Road transport; Investment (military); Gross domestic product; Greenhouse gas; Quarter (Canadian coin); Product (mathematics); Car ownership; Socioeconomic status; Road traffic; Transport network","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000248206,0.0007069377,0.000381407,0.001203413,0.001476254,0.005026658,0.0006983572,0.001630983,0.774209],"category_scores_gemma":[0.001484896,0.0002712976,0.0002384949,0.002467082,0.0005126325,0.002373692,0.001978494,0.001400529,0.5974542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026733,"about_ca_system_score_gemma":0.00149602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006258454,"about_ca_topic_score_gemma":0.01277245,"domain_scores_codex":[0.9994656,0.00006539744,0.00003360034,0.0002002607,0.0001750013,0.00006003605],"domain_scores_gemma":[0.9990958,0.0001527163,0.00009783727,0.0001295253,0.0002622749,0.0002618807],"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":[0.00004768073,0.00005645921,0.00130961,0.0003090647,0.000009257102,0.0001546394,0.00008595276,0.0001390218,0.0005826047,0.006794605,0.755335,0.2351761],"study_design_scores_gemma":[0.000004733431,0.000008395365,0.001021177,0.00008258096,0.000002277384,0.0000967354,0.00007600259,0.0001370677,0.00009701098,0.0005163991,0.9979518,0.000005796308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001500081,0.001761183,0.0006126377,0.002286891,0.001745409,0.00004369408,0.005172465,0.001058514,0.9858191],"genre_scores_gemma":[0.006042386,0.001717392,0.0003335971,0.0006688171,0.0002606248,0.00003205069,0.003662026,0.0003665186,0.9869167],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.225791,"threshold_uncertainty_score":0.3220635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535594897842512,"score_gpt":0.2448986209531926,"score_spread":0.2295426719747675,"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."}}