{"id":"W6973719763","doi":"10.57907/mirri/oohlj4","title":"MIRRI0073995","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001818861,0.00423571,0.002933691,0.008414672,0.002121653,0.005350149,0.004546794,0.004879827,0.33113],"category_scores_gemma":[0.01059587,0.001614389,0.00213368,0.01238606,0.001051265,0.002679344,0.003605051,0.002763801,0.4374567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002434813,"about_ca_system_score_gemma":0.005850715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03144658,"about_ca_topic_score_gemma":0.04834639,"domain_scores_codex":[0.9978631,0.0002980617,0.000201169,0.0007284964,0.00051297,0.0003962458],"domain_scores_gemma":[0.9954181,0.001376798,0.0003880167,0.001110698,0.001082314,0.0006241216],"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":[0.00008070059,0.00001899807,0.0003209107,0.0008654034,0.00002485726,0.0000136695,0.00003670593,0.0001423552,0.0001716011,0.0003847525,0.9966136,0.001326465],"study_design_scores_gemma":[0.0003673065,0.00002811694,0.001713229,0.0003935951,0.00005368948,0.00003532986,0.00009163118,0.0002052411,0.0003331925,0.001180714,0.9955526,0.00004532107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003375489,0.00004848366,0.00003438679,0.00003677113,0.00002321004,0.000006732558,0.9989017,0.0003313447,0.0005835731],"genre_scores_gemma":[0.0001330013,0.00005295659,0.0002232081,0.00005645684,0.000007013598,0.00004611544,0.9985733,0.0001777179,0.0007302454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.66887,"threshold_uncertainty_score":0.9540619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740760733691985,"score_gpt":0.269012316455789,"score_spread":0.2516047091188691,"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."}}