{"id":"W4394260728","doi":"10.6084/m9.figshare.1226688.v1","title":"Lab 4 Data - Quadrats and Bait Traps near Danby WOods","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quadrat; Forestry; Geography; Environmental science; Biology; Ecology; Transect","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005938846,0.0003429833,0.0004175435,0.00004677881,0.0001097223,0.0001480759,0.0007140135,0.0002800857,0.02543785],"category_scores_gemma":[0.0004951267,0.0003296096,0.0000422208,0.00009512454,0.00001547108,0.0001454153,0.0005834764,0.0004050979,0.0015502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002368794,"about_ca_system_score_gemma":0.00002435007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003022586,"about_ca_topic_score_gemma":0.005521632,"domain_scores_codex":[0.9988482,0.0000268138,0.0002188405,0.0004314369,0.0001790688,0.000295641],"domain_scores_gemma":[0.9983131,0.0001394765,0.00003952716,0.001380812,0.00002849432,0.00009854717],"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":[0.000001556444,0.000009857886,0.000006367377,0.001310482,0.00006821029,0.000008754609,0.00002503755,0.000008273426,1.765136e-7,1.449403e-7,0.9968768,0.001684357],"study_design_scores_gemma":[0.0001579833,0.00001841868,0.0008872217,0.0006335304,0.00003691079,0.000003633859,0.000007540753,0.0005669477,0.00000149572,0.000003695366,0.9973261,0.0003565382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000987846,0.003992632,4.760971e-7,0.00002071604,0.0001646808,0.000163407,0.9952925,0.000173024,0.0001827119],"genre_scores_gemma":[0.0000980129,0.00006641113,0.00003454556,0.00002466018,0.0003075333,0.00005833661,0.9993445,0.00003628674,0.00002971081],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02388765,"threshold_uncertainty_score":0.9999156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0585405879958787,"score_gpt":0.2626928366680175,"score_spread":0.2041522486721388,"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."}}