{"id":"W6936204192","doi":"10.57907/mirri/ewazgg","title":"MIRRI0062381","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); Population","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008872076,0.0009440065,0.0008612385,0.0006357766,0.0003232452,0.0001574323,0.001816052,0.0004697448,0.9991405],"category_scores_gemma":[0.0005804774,0.001010443,0.000528219,0.0006011372,0.0001088019,0.0001240298,0.001197098,0.001875052,0.9856324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007922103,"about_ca_system_score_gemma":0.0006671214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001402033,"about_ca_topic_score_gemma":0.0004311871,"domain_scores_codex":[0.994467,0.0006668452,0.0009144408,0.00134932,0.001519454,0.001082959],"domain_scores_gemma":[0.9959265,0.0003276956,0.0007683205,0.002476432,0.0001162886,0.0003847683],"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":[0.00008952455,0.0004822805,0.00002020767,0.00008788812,0.0002182091,0.0008676586,0.00002942146,0.00005140574,0.0001576615,0.0000138525,0.9977444,0.0002374944],"study_design_scores_gemma":[0.0009811209,0.0000610208,0.00001720951,0.00004951871,0.0003220117,0.0001249647,0.00009250339,0.000007977669,0.00009578886,0.0001255291,0.9970909,0.001031448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007446806,0.001369334,0.000002488463,0.0003900529,0.002068273,0.0006245288,0.9949582,0.0004739363,0.00003870225],"genre_scores_gemma":[0.000003346655,0.0002325839,0.0001770452,0.0007705534,0.001025609,0.0002422504,0.9891272,0.0003074798,0.008113886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01350809,"threshold_uncertainty_score":0.9992346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170193258234565,"score_gpt":0.2674187999556708,"score_spread":0.2503994741322143,"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."}}