{"id":"W6949671221","doi":"10.5281/zenodo.3541188","title":"NPA_ref2942","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Railway Systems and Materials Science","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fungus; Citrinin; Penicillium; Citation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001166183,0.00246908,0.00389162,0.01441386,0.004013858,0.01036625,0.004646995,0.004811259,0.8960259],"category_scores_gemma":[0.007719812,0.001753401,0.002518537,0.01885415,0.001277821,0.008886714,0.004316481,0.002796182,0.8200786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004053806,"about_ca_system_score_gemma":0.007001889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01343395,"about_ca_topic_score_gemma":0.01120693,"domain_scores_codex":[0.9978703,0.0001233073,0.0003215011,0.000365992,0.001037323,0.000281559],"domain_scores_gemma":[0.9939144,0.0008162787,0.0003188342,0.0005868074,0.003522128,0.0008414171],"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":[0.00006529626,0.00003241914,0.0001201162,0.002207343,0.00001572068,0.0001020303,0.00002574057,0.00005090722,0.0004620135,0.001585513,0.9759895,0.01934348],"study_design_scores_gemma":[0.0000383175,0.00001608999,0.0008552013,0.0004305635,0.000013936,0.0001126325,0.00002884839,0.00003696626,0.000256768,0.0008595525,0.997332,0.0000191723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005110962,0.005718721,0.001386281,0.003809672,0.02942165,0.0005635973,0.5205501,0.004773509,0.4332652],"genre_scores_gemma":[0.004604782,0.007632403,0.003313067,0.002817534,0.004457283,0.0006789736,0.5367343,0.003612275,0.4361494],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1039741,"threshold_uncertainty_score":0.1483064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541033322807515,"score_gpt":0.1954999775028691,"score_spread":0.180089644274794,"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."}}