{"id":"W6935988783","doi":"10.57907/mirri/0tk4uu","title":"MIRRI0029286","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Identification (biology); Point (geometry)","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":["insufficient_payload"],"category_scores_codex":[0.001580451,0.003960387,0.002737584,0.006450599,0.001792804,0.004681016,0.003993211,0.003865667,0.3089686],"category_scores_gemma":[0.01071674,0.001472426,0.002067954,0.009809275,0.0008365613,0.002247628,0.002901152,0.002581032,0.3949851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001960006,"about_ca_system_score_gemma":0.005065715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02880934,"about_ca_topic_score_gemma":0.04566775,"domain_scores_codex":[0.9983084,0.0002405424,0.0001511496,0.0006134287,0.0003824524,0.0003039276],"domain_scores_gemma":[0.9957675,0.001363358,0.0003334682,0.0009831273,0.0009768693,0.0005758359],"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":[0.00008465612,0.00001786849,0.0003623967,0.0006876156,0.00002615293,0.00001111268,0.0000245876,0.0001328052,0.0001427719,0.0002790982,0.9970374,0.001193488],"study_design_scores_gemma":[0.0005965856,0.00003502877,0.002528146,0.0003970992,0.00007659893,0.00003807108,0.00008573602,0.000315179,0.0004613922,0.001540381,0.9938747,0.00005105066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004089831,0.00004281624,0.00003532052,0.00003587343,0.00002342334,0.000006673372,0.998879,0.000405374,0.00053062],"genre_scores_gemma":[0.0001733165,0.00004601153,0.0002601719,0.00006023132,0.000008197198,0.00004587754,0.9984711,0.0002249565,0.0007101439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6910313,"threshold_uncertainty_score":0.9856724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172844641368919,"score_gpt":0.2672980167507813,"score_spread":0.2500135526138894,"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."}}