{"id":"W6973646461","doi":"10.57907/mirri/16s5lm","title":"MIRRI0036920","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; Key (lock); Product (mathematics); Taxon","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":[0.001865501,0.004406164,0.00303301,0.008036491,0.002048565,0.005362085,0.004864233,0.004633932,0.3668973],"category_scores_gemma":[0.01125671,0.001662251,0.002006393,0.01143267,0.001010475,0.002765144,0.003677672,0.002559322,0.4573896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002218184,"about_ca_system_score_gemma":0.005255512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.024018,"about_ca_topic_score_gemma":0.03834352,"domain_scores_codex":[0.9981153,0.0002794383,0.0001679438,0.0006944181,0.0004065311,0.0003363762],"domain_scores_gemma":[0.9955335,0.001435046,0.0003449443,0.001151227,0.0009246392,0.0006106819],"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":[0.00008671879,0.00001830832,0.0003459548,0.0008303337,0.00002506155,0.00001287525,0.00003831359,0.000125857,0.0001604313,0.0003894167,0.9966606,0.001306214],"study_design_scores_gemma":[0.0004300159,0.00002940558,0.00166911,0.0003528774,0.00005827794,0.00003372218,0.00009619144,0.0002369732,0.0003921571,0.001427624,0.9952279,0.00004571161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003075307,0.00003514389,0.0000394607,0.00003295307,0.00001932132,0.000006542557,0.9988611,0.0004394062,0.0005354151],"genre_scores_gemma":[0.00015522,0.00004246321,0.0002549479,0.00005160618,0.000006451908,0.0000548387,0.9985011,0.000254981,0.0006784245],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6331027,"threshold_uncertainty_score":0.9030442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734456794800851,"score_gpt":0.2674323482616386,"score_spread":0.2500877803136301,"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."}}