{"id":"W6954964161","doi":"10.57907/mirri/eachdm","title":"MIRRI0127809","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Sesame and Sesamin Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Key (lock); Identification (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001324542,0.004098469,0.002269424,0.006320168,0.001492836,0.004201268,0.003586991,0.004277997,0.2295676],"category_scores_gemma":[0.009235337,0.001155884,0.002048619,0.0100023,0.0007736665,0.001878417,0.002751151,0.001926229,0.2950526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940751,"about_ca_system_score_gemma":0.004622293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03667264,"about_ca_topic_score_gemma":0.05902844,"domain_scores_codex":[0.9984434,0.0002400897,0.0001411849,0.0005909831,0.0003343446,0.0002500047],"domain_scores_gemma":[0.9965498,0.001121263,0.000285691,0.0007617311,0.000798798,0.0004826135],"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":[0.00008062439,0.00001990122,0.000485326,0.0008446939,0.00003363326,0.00001477831,0.00002225539,0.0002069091,0.0001138186,0.0002636746,0.9964857,0.001428628],"study_design_scores_gemma":[0.000662137,0.00004191612,0.003453142,0.0004743054,0.00009405861,0.00005408842,0.00009082862,0.0005164691,0.000347286,0.001459575,0.9927544,0.00005188325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005387688,0.00007300937,0.00003220939,0.0000410796,0.00002175077,0.000007893747,0.9989464,0.0003194991,0.0005044112],"genre_scores_gemma":[0.000202388,0.00006263084,0.0002108886,0.00006939586,0.00000796608,0.00005085731,0.9985862,0.0001112052,0.0006984993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7704324,"threshold_uncertainty_score":0.7679802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0326028932132304,"score_gpt":0.2615585446228438,"score_spread":0.2289556514096134,"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."}}