{"id":"W6917509242","doi":"10.57907/mirri/pwhbcp","title":"MIRRI0059746","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Artificial Intelligence in Healthcare and Education","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":[0.001349322,0.004062743,0.002724071,0.00403339,0.001881169,0.003835583,0.00478046,0.004257066,0.1187426],"category_scores_gemma":[0.004864538,0.001096463,0.002105998,0.005272914,0.0008427459,0.002195164,0.003244822,0.002454289,0.2621622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182683,"about_ca_system_score_gemma":0.003258811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021524,"about_ca_topic_score_gemma":0.04351255,"domain_scores_codex":[0.9982929,0.0002769008,0.0001576928,0.0006172005,0.0003527888,0.0003026494],"domain_scores_gemma":[0.998153,0.000366778,0.0001701764,0.0005658265,0.0004454764,0.0002986979],"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":[0.0001259912,0.00003716753,0.0006093662,0.0007777848,0.00003722362,0.00002601261,0.00002495931,0.0002212945,0.0003787146,0.0003496262,0.9955072,0.001904629],"study_design_scores_gemma":[0.0005348715,0.00007458134,0.003604133,0.0003027096,0.00006993592,0.000128674,0.0001000655,0.0006026887,0.0008217823,0.0009937462,0.9927158,0.00005098578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001787905,0.0001470997,0.00007034106,0.0000745824,0.00005609275,0.00001567111,0.9978707,0.0005989742,0.0009876898],"genre_scores_gemma":[0.0002151397,0.00005233099,0.000217354,0.00005204699,0.000009564187,0.00003817286,0.9987218,0.00005173774,0.0006417903],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8812574,"threshold_uncertainty_score":0.3972335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1322497277812033,"score_gpt":0.4214715504882611,"score_spread":0.2892218227070579,"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."}}