{"id":"W6936187184","doi":"10.57907/mirri/b7822h","title":"MIRRI0077897","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":"Taxon; Organism; 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":[0.001823898,0.004762745,0.00316314,0.009689258,0.002196549,0.005580457,0.004900334,0.004993949,0.3497993],"category_scores_gemma":[0.01107561,0.001690458,0.002296787,0.01414494,0.001011306,0.002754642,0.003709323,0.002834571,0.4761374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435373,"about_ca_system_score_gemma":0.005983168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03274499,"about_ca_topic_score_gemma":0.05148727,"domain_scores_codex":[0.9978058,0.0003026096,0.0002007121,0.0007295338,0.0005529586,0.0004084816],"domain_scores_gemma":[0.9950753,0.001458938,0.0003783137,0.001211103,0.001238868,0.0006374529],"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":[0.00007111383,0.00001649075,0.0002455985,0.0008109907,0.00002185349,0.00001208161,0.00003089935,0.0001238426,0.0001468286,0.0003214221,0.9968359,0.001362999],"study_design_scores_gemma":[0.0003379044,0.00002433659,0.001450746,0.0003642637,0.00004879181,0.0000312533,0.00007405439,0.0002049134,0.0003167602,0.001161081,0.9959418,0.00004404254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002959223,0.00005359259,0.00003869203,0.00003569886,0.00002272434,0.000007221709,0.9986963,0.0004592493,0.0006569586],"genre_scores_gemma":[0.0001184847,0.00005712988,0.0002512241,0.00005138663,0.000006776779,0.0000510772,0.9985071,0.0002326481,0.0007241991],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6502007,"threshold_uncertainty_score":0.9274324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738172440153386,"score_gpt":0.2690397766133712,"score_spread":0.2516580522118373,"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."}}