{"id":"W6898719264","doi":"10.57907/mirri/nxbosv","title":"MIRRI0054523","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; Point (geometry); Term (time)","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":[0.0008992919,0.0009397141,0.0008567004,0.0006431763,0.0003201107,0.0001607675,0.001880121,0.0004688887,0.9990656],"category_scores_gemma":[0.0005884747,0.001006722,0.0005254095,0.0006099687,0.0001093323,0.0001272357,0.001236771,0.001872977,0.9855259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008035169,"about_ca_system_score_gemma":0.0006698407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316279,"about_ca_topic_score_gemma":0.0004536195,"domain_scores_codex":[0.9944732,0.000659108,0.0009105713,0.001347758,0.001519647,0.001089713],"domain_scores_gemma":[0.9959455,0.0003234637,0.0007623866,0.002463276,0.0001137999,0.0003916207],"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":[0.00008938744,0.0004747271,0.00001893355,0.00008497143,0.000226597,0.0008535986,0.00002610332,0.00005298385,0.0001544409,0.00001753036,0.9977736,0.0002270668],"study_design_scores_gemma":[0.0009783424,0.00005915818,0.00001909254,0.00004930844,0.0003212281,0.0001245691,0.00008827804,0.000007993451,0.00009885415,0.0001206269,0.997105,0.00102754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009392342,0.001252326,0.000002220521,0.0003837677,0.002088925,0.0006403928,0.9950167,0.0004838583,0.00003791714],"genre_scores_gemma":[0.00000299092,0.0002414692,0.0001687279,0.0007391581,0.001037293,0.0002515244,0.9872231,0.0003106297,0.01002504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01353967,"threshold_uncertainty_score":0.9992383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764503806947035,"score_gpt":0.2691228516757423,"score_spread":0.2514778136062719,"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."}}