{"id":"W4394406768","doi":"10.6084/m9.figshare.12798296.v6","title":"Data and code from Rizzuto et al. “Forage stoichiometry predicts home range size in a small terrestrial herbivore\"","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbivore; Forage; Range (aeronautics); Code (set theory); Stoichiometry; Ecology; Geography; Biology; Computer science; Materials science; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002738748,0.001680442,0.0017229,0.004558696,0.001844782,0.002756313,0.004206081,0.001494689,0.3051828],"category_scores_gemma":[0.01974405,0.001367937,0.002165006,0.006763265,0.0007284873,0.002950218,0.002618517,0.002515569,0.1961087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00200618,"about_ca_system_score_gemma":0.003544261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03044641,"about_ca_topic_score_gemma":0.03675913,"domain_scores_codex":[0.997404,0.0003013214,0.0002769148,0.0006304526,0.001163014,0.0002242618],"domain_scores_gemma":[0.9922698,0.002629842,0.0004867951,0.001924582,0.002297636,0.000391365],"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":[0.000133473,0.00004111914,0.002419256,0.0008158225,0.00004864094,0.00003656557,0.0001474453,0.0003482897,0.0008000171,0.001109791,0.9854833,0.008616359],"study_design_scores_gemma":[0.0001812085,0.00003596269,0.01388262,0.0004744258,0.00008337608,0.0001439917,0.0001671454,0.000478592,0.001640682,0.004127909,0.9787139,0.0000700715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001296513,0.0001962854,0.003173851,0.0003573231,0.0003727454,0.0002758473,0.9776444,0.004894498,0.01178844],"genre_scores_gemma":[0.005494934,0.0003364208,0.0163401,0.0009203182,0.00008939758,0.002202623,0.9472808,0.008956706,0.01837873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3051828,"threshold_uncertainty_score":0.9910724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05529515342943438,"score_gpt":0.2644682591099984,"score_spread":0.2091731056805641,"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."}}