{"id":"W6955069091","doi":"10.57907/mirri/wqnmy0","title":"MIRRI0041724","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"High-pressure geophysics and materials","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Mucor; Identification (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003338324,0.0003430148,0.0004268515,0.0001064618,0.0002200692,0.0001443729,0.0006985157,0.000171938,0.9956297],"category_scores_gemma":[0.00005020705,0.0003017889,0.0001575464,0.0001296691,0.00004005624,0.00008035253,0.00009203219,0.0003590211,0.392014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007057934,"about_ca_system_score_gemma":0.0001673145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01073805,"about_ca_topic_score_gemma":0.001615689,"domain_scores_codex":[0.9979102,0.0002076559,0.0003804316,0.0005268985,0.0005073011,0.0004674833],"domain_scores_gemma":[0.9987689,0.0001552149,0.0002420301,0.0006294484,0.00002909736,0.0001753493],"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":[0.00002345243,0.00003360014,0.0001077933,0.00005347027,0.00005398591,0.0001417249,0.00001337373,0.0002522047,0.00001765368,0.000005312247,0.9983176,0.0009798411],"study_design_scores_gemma":[0.0002074284,0.00005569078,0.000442338,0.00001501114,0.00008339768,0.00001273966,0.00001872162,0.00001446366,0.00003703282,0.0002960075,0.9984481,0.0003690352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00108671,0.000734549,0.000001569513,0.0002386833,0.003456359,0.0002213636,0.9941294,0.00005770857,0.00007368782],"genre_scores_gemma":[0.0001544118,0.0003846243,0.00008183468,0.0004443091,0.0009690087,0.000006387869,0.9955863,0.000009090787,0.002363991],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6036158,"threshold_uncertainty_score":0.9999434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027632088943225,"score_gpt":0.2090491851650107,"score_spread":0.1987728642755784,"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."}}