{"id":"W6958596960","doi":"10.6084/m9.figshare.6292169.v1","title":"KinexMedia","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Identification (biology); Government (linguistics)","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":[0.0007626557,0.005058678,0.001879802,0.003234438,0.001091613,0.002510488,0.004106736,0.00297493,0.1858743],"category_scores_gemma":[0.003639473,0.000830356,0.002097192,0.004782152,0.000622928,0.002058058,0.002800183,0.002357772,0.2942933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049419,"about_ca_system_score_gemma":0.001860653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02471434,"about_ca_topic_score_gemma":0.06106731,"domain_scores_codex":[0.9991471,0.0001221596,0.00006761449,0.0003080267,0.000211517,0.0001435104],"domain_scores_gemma":[0.9990207,0.0002324869,0.00004980768,0.0002952855,0.0002548982,0.0001468296],"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":[0.00005790487,0.00002299835,0.0001876001,0.0004588367,0.0000165015,0.00001654842,0.00001600508,0.0003424443,0.0001524793,0.0002694459,0.9944917,0.003967606],"study_design_scores_gemma":[0.0002104146,0.00002674228,0.001995396,0.0003618862,0.00003795683,0.00007447024,0.0001089931,0.0014133,0.0007819393,0.002318302,0.9926144,0.00005628722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001142929,0.0001312109,0.0002309588,0.00005679061,0.00006538891,0.00002460456,0.9955153,0.00209993,0.001761584],"genre_scores_gemma":[0.0002926508,0.00007170711,0.000740779,0.00004487598,0.000008016693,0.00007885961,0.9974088,0.0002191157,0.001135219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8141257,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03582688673416569,"score_gpt":0.2171411200979861,"score_spread":0.1813142333638204,"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."}}