{"id":"W6955068328","doi":"10.57907/mirri/f4vylb","title":"MIRRI0044841","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Identification (biology); Natural (archaeology)","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":[],"category_scores_codex":[0.001468932,0.002594927,0.002434351,0.004917081,0.001740369,0.00437966,0.003729241,0.003618715,0.2414676],"category_scores_gemma":[0.009049297,0.001123555,0.001465839,0.008011558,0.0006694066,0.001965179,0.003074412,0.001905931,0.3086137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932185,"about_ca_system_score_gemma":0.004092491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02659567,"about_ca_topic_score_gemma":0.04734834,"domain_scores_codex":[0.9984609,0.0002661724,0.0001576299,0.0005671788,0.0002981336,0.0002500284],"domain_scores_gemma":[0.9962697,0.001215017,0.0003381073,0.0008548719,0.0009240514,0.0003981614],"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":[0.0001154399,0.00001709628,0.0008273064,0.001178509,0.00004079778,0.00002269173,0.00003639386,0.0001379209,0.0002225352,0.0005176068,0.9952297,0.001654011],"study_design_scores_gemma":[0.0003177979,0.00002460141,0.003240598,0.000348596,0.00004917569,0.00005399873,0.0000619343,0.0001270097,0.0003022598,0.0007892185,0.9946562,0.00002865825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004120031,0.00005618584,0.00003127469,0.0000347341,0.00001449334,0.000004964616,0.9990262,0.0002388924,0.0005520872],"genre_scores_gemma":[0.0001889412,0.0000621104,0.0001843735,0.00006084353,0.00000742086,0.00003740926,0.9985656,0.0001130814,0.000780284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7585323,"threshold_uncertainty_score":0.8077897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806043140440346,"score_gpt":0.2777160613664487,"score_spread":0.2596556299620453,"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."}}