{"id":"W6974011815","doi":"10.57907/mirri/zngjjk","title":"MIRRI0126278","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; Key (lock); 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":[0.0008929679,0.0009344508,0.0008450379,0.0006311191,0.0003282933,0.000152449,0.001870739,0.000456755,0.9990524],"category_scores_gemma":[0.0005600974,0.001001991,0.0005189047,0.0006032715,0.0001063823,0.000134751,0.001246678,0.001902494,0.9841325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007733756,"about_ca_system_score_gemma":0.0006489852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190859,"about_ca_topic_score_gemma":0.0003593062,"domain_scores_codex":[0.994516,0.0006821171,0.0009123045,0.001290455,0.001507272,0.001091824],"domain_scores_gemma":[0.9959407,0.0003173749,0.0007614637,0.002470805,0.0001149288,0.000394741],"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":[0.00008815205,0.0004767339,0.00002313961,0.00008956671,0.0002192344,0.0008234218,0.00003261515,0.00005231363,0.0001486092,0.00001279937,0.9978135,0.000219964],"study_design_scores_gemma":[0.0009904813,0.00005623641,0.0000188043,0.00004730203,0.0003256569,0.0001303706,0.00009454611,0.000008469937,0.0001006738,0.000106923,0.9970971,0.001023391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007971069,0.001427557,0.000002298251,0.0004229314,0.002130958,0.0006114424,0.9948328,0.0004529321,0.00003941633],"genre_scores_gemma":[0.000003494633,0.0002528074,0.0001716182,0.0008696689,0.001033725,0.0002364194,0.9896609,0.000287734,0.007483592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01491988,"threshold_uncertainty_score":0.999243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753650093733336,"score_gpt":0.2686550543446046,"score_spread":0.2511185534072713,"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."}}