{"id":"W4394149884","doi":"10.6084/m9.figshare.1560089","title":"Ecology BIOL 2050 Lab 2 - Grassland Dataset 1","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grassland; Ecology; Grassland ecosystem; Geography; Environmental science; Biology","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":[0.0008161064,0.001864159,0.001112504,0.00197456,0.0007290835,0.001595797,0.002408187,0.00165642,0.05298601],"category_scores_gemma":[0.003761172,0.0004566507,0.0011268,0.00288688,0.0002692573,0.001097987,0.001526722,0.001028176,0.06738946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007481474,"about_ca_system_score_gemma":0.001155485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01338615,"about_ca_topic_score_gemma":0.04145897,"domain_scores_codex":[0.9994162,0.0000899317,0.00006277311,0.0002293464,0.0001129809,0.00008876825],"domain_scores_gemma":[0.9987816,0.0002730471,0.000136648,0.0003157485,0.000316865,0.0001760646],"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":[0.00008929252,0.00005096057,0.005486331,0.0007631882,0.00007470958,0.00003480738,0.00003713753,0.0005033212,0.0001711353,0.0003593389,0.9885734,0.003856322],"study_design_scores_gemma":[0.000616687,0.00007313365,0.02596997,0.0003346913,0.00007372349,0.0001014827,0.0001609574,0.001712082,0.0004640809,0.001356427,0.9690874,0.00004939347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004774071,0.00005460343,0.00007296892,0.00003912273,0.00001961209,0.00001275025,0.9983597,0.0003760793,0.0005876883],"genre_scores_gemma":[0.0007627062,0.00002155486,0.000323065,0.00003506237,0.000006813006,0.00005995619,0.9983914,0.00004008822,0.0003593143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05298601,"threshold_uncertainty_score":0.1772559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04301735657512491,"score_gpt":0.2782510449381896,"score_spread":0.2352336883630647,"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."}}