{"id":"W6898741598","doi":"10.57907/mirri/alxy0j","title":"MIRRI0048578","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); Term (time)","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":[0.001549665,0.003328372,0.003016326,0.007076037,0.00224432,0.005654118,0.004651598,0.004309545,0.3332143],"category_scores_gemma":[0.00974361,0.001480786,0.001482522,0.01324083,0.0008334332,0.003248334,0.00380864,0.002497723,0.4866708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002431054,"about_ca_system_score_gemma":0.004610102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02824687,"about_ca_topic_score_gemma":0.05017407,"domain_scores_codex":[0.9981303,0.0002764642,0.0001898637,0.0006546936,0.0004124366,0.0003363309],"domain_scores_gemma":[0.9959955,0.001103846,0.0003609097,0.0009796364,0.001117987,0.0004420057],"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":[0.0000634229,0.00001231846,0.0002885524,0.0007850048,0.00001917482,0.00001235862,0.00003119839,0.00008560014,0.000149153,0.0004213077,0.9968637,0.001268182],"study_design_scores_gemma":[0.0001806238,0.00001546181,0.001551219,0.0002748813,0.00002744128,0.0000296595,0.00006102948,0.00009835501,0.0002231898,0.0007573125,0.9967549,0.00002589021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002583014,0.00004483928,0.00003347936,0.00003332814,0.00001568534,0.000004548069,0.9988375,0.0002915957,0.0007131527],"genre_scores_gemma":[0.0001120941,0.00004686907,0.0001690081,0.00004113094,0.000005927894,0.00003380562,0.9986547,0.0001399044,0.0007964961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6667857,"threshold_uncertainty_score":0.9510889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721268123727827,"score_gpt":0.2678695633880421,"score_spread":0.2506568821507638,"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."}}