{"id":"W4394364493","doi":"10.6084/m9.figshare.3858186.v1","title":"Foraging Dataset","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foraging; Computer science; Geography; Biology; Ecology","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":[0.0005234859,0.001944287,0.001471553,0.003699508,0.001762832,0.001775742,0.002709114,0.001427548,0.05843277],"category_scores_gemma":[0.004294863,0.000488724,0.001232491,0.008411295,0.0003826884,0.0008389313,0.001346203,0.001550139,0.05862468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006167764,"about_ca_system_score_gemma":0.009378992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7524639,"about_ca_topic_score_gemma":0.8735199,"domain_scores_codex":[0.9992506,0.00006353451,0.00007668602,0.0002004876,0.0002420287,0.0001666147],"domain_scores_gemma":[0.9975609,0.0002774249,0.0001216004,0.0003694118,0.001427348,0.00024328],"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":[0.0000468525,0.00001596452,0.001517799,0.0003617511,0.0000322775,0.00002067136,0.00002426118,0.0002419183,0.00006575329,0.0002224121,0.9948916,0.00255855],"study_design_scores_gemma":[0.0001564589,0.00001338025,0.02076735,0.0004274053,0.00004812649,0.00005452255,0.0001918864,0.0007181414,0.0002516077,0.0006651017,0.9766575,0.0000485771],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001457337,0.00004862874,0.0000282848,0.00002412721,0.000007728748,0.000008634895,0.9991311,0.0001164147,0.0004893268],"genre_scores_gemma":[0.0004188491,0.00004726266,0.0001752382,0.00002158794,0.000002320663,0.00004132789,0.9986774,0.00003045317,0.0005855702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7524639,"threshold_uncertainty_score":0.4979877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04521686268607193,"score_gpt":0.2820687121799155,"score_spread":0.2368518494938435,"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."}}