{"id":"W4394552963","doi":"10.6084/m9.figshare.13125554","title":"Biol3250_Goldenrod_Height_Density_Data","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":[0.0009300723,0.001734968,0.001066776,0.001455695,0.0009667985,0.001340052,0.002151734,0.001413465,0.03410074],"category_scores_gemma":[0.003399044,0.0004984848,0.0009943529,0.002241307,0.0004074702,0.0008415098,0.001189093,0.00102052,0.039554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567504,"about_ca_system_score_gemma":0.001541539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04077951,"about_ca_topic_score_gemma":0.117307,"domain_scores_codex":[0.9993616,0.00009663224,0.00003110019,0.0002648159,0.0001483776,0.00009756612],"domain_scores_gemma":[0.9988928,0.0003576768,0.00008177549,0.0002684193,0.0002609688,0.0001382293],"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":[0.0002880274,0.00009250465,0.008206896,0.0009149327,0.00009449598,0.00006632815,0.0000780534,0.001887114,0.0009721012,0.001021078,0.9793379,0.007040501],"study_design_scores_gemma":[0.0005888587,0.00007675131,0.03029333,0.0002297445,0.00008633802,0.0001324835,0.0001783552,0.004982417,0.001899353,0.002201442,0.9592498,0.00008118298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001351687,0.00007736734,0.0001740144,0.00007301843,0.00003039116,0.00001094617,0.9966001,0.0008579016,0.0008245435],"genre_scores_gemma":[0.001655751,0.00003195442,0.0005982391,0.00003760726,0.000004091246,0.00004549411,0.9970073,0.00009376382,0.0005259069],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04077951,"threshold_uncertainty_score":0.1140783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502884794043509,"score_gpt":0.2403165744638633,"score_spread":0.2152877265234282,"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."}}