{"id":"W6939628293","doi":"10.6084/m9.figshare.1565698.v1","title":"Distance Sampling of Bird Abundance in grassland at York Univeristy","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transect; Abundance (ecology); Aerial survey; Grassland; Distance sampling; Habitat; Sampling (signal processing)","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":[0.0004601111,0.0006721965,0.0005649641,0.002001109,0.0005054705,0.0008092741,0.0007883497,0.0006714656,0.01089694],"category_scores_gemma":[0.002264641,0.0002721536,0.0003755555,0.002520053,0.0002237875,0.0004375417,0.000954723,0.0005669844,0.009866351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101325,"about_ca_system_score_gemma":0.001287763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.134061,"about_ca_topic_score_gemma":0.3238648,"domain_scores_codex":[0.9995742,0.00005471596,0.00004960582,0.0001541797,0.0001004693,0.00006678925],"domain_scores_gemma":[0.9987528,0.0001594811,0.0002358518,0.0002061095,0.0004612406,0.0001844972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003123423,0.0001070453,0.141379,0.001309816,0.0002190841,0.0001719749,0.0003747593,0.0009626207,0.00109091,0.0006661167,0.8405194,0.012887],"study_design_scores_gemma":[0.0001561675,0.00006299613,0.515555,0.00057063,0.00007790981,0.0001433976,0.0007361472,0.001250204,0.0007598889,0.0003403618,0.4802836,0.00006370152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009354541,0.0002080113,0.0001571776,0.00004547237,0.00003040962,0.00002417847,0.9888313,0.00009249702,0.001256435],"genre_scores_gemma":[0.01139921,0.00008230987,0.0006159156,0.00003187547,0.00001414549,0.0001258637,0.9861373,0.00002525208,0.001568072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.865939,"threshold_uncertainty_score":0.2665613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05471633242600663,"score_gpt":0.2505402763447633,"score_spread":0.1958239439187567,"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."}}