{"id":"W2525962615","doi":"10.1186/s13742-016-0145-2","title":"A picture is worth a thousand data points: an imagery dataset of paired shrub-open microsites within the Carrizo Plain National Monument","year":2016,"lang":"en","type":"article","venue":"GigaScience","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"U.S. Bureau of Land Management; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Nature Conservancy","keywords":"Shrub; Endangered species; Habitat; Ecology; Vegetation (pathology); Geography; National park; Understory; Threatened species; Leopard; Lizard; Cloud forest; Biology; Canopy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002549763,0.0004189055,0.0002845372,0.002030127,0.0004718998,0.000522743,0.000522883,0.000403346,0.001661505],"category_scores_gemma":[0.0008988685,0.0001949443,0.0002647258,0.0018902,0.0002979269,0.0004232482,0.0007603705,0.0003821178,0.0006949201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008350743,"about_ca_system_score_gemma":0.0006395149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1597696,"about_ca_topic_score_gemma":0.365773,"domain_scores_codex":[0.9996873,0.00002937716,0.00002272595,0.00009544541,0.00008096423,0.00008419414],"domain_scores_gemma":[0.9995684,0.00003737501,0.0001089206,0.00005300411,0.0001342829,0.00009796125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000674012,0.0005226653,0.7818592,0.0009287808,0.0003414378,0.001302122,0.002422357,0.002996073,0.009091639,0.0003510297,0.1246042,0.07490646],"study_design_scores_gemma":[0.00002232387,0.0000390988,0.9762828,0.0001075869,0.00003838807,0.0002095253,0.001917687,0.00358566,0.0004225087,0.00004949003,0.01730479,0.00002004688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.83925,0.001178393,0.0007387142,0.0004525619,0.0000799179,0.0001902028,0.1533896,0.0003170496,0.004403576],"genre_scores_gemma":[0.7564251,0.0004629896,0.004121646,0.0001019317,0.00007883417,0.0002109786,0.2368514,0.00004817015,0.00169892],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1597696,"threshold_uncertainty_score":0.3176792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03505645089221978,"score_gpt":0.2836897823958264,"score_spread":0.2486333315036066,"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."}}