{"id":"W6954960737","doi":"10.57907/mirri/kuw3pv","title":"MIRRI0031722","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Identification (biology); Population","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":[0.001282605,0.003905226,0.002375133,0.005353712,0.001730392,0.00407614,0.004262845,0.003432206,0.2847632],"category_scores_gemma":[0.007189162,0.001315665,0.00171338,0.008222201,0.0008884798,0.001913665,0.003163856,0.002041197,0.3470528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991681,"about_ca_system_score_gemma":0.004956671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0344189,"about_ca_topic_score_gemma":0.05901674,"domain_scores_codex":[0.9986702,0.0001729544,0.0001082076,0.0005009639,0.0003039685,0.000243715],"domain_scores_gemma":[0.9969084,0.0008401016,0.0002258563,0.0007971254,0.0007147737,0.0005137341],"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":[0.00005846706,0.0000177686,0.0003170172,0.0005350781,0.00001910133,0.00001042464,0.00002575311,0.0001217204,0.0001530804,0.0002922224,0.9973718,0.00107755],"study_design_scores_gemma":[0.0004672304,0.000031746,0.002504925,0.0002634735,0.00004887085,0.00003716307,0.00007922831,0.0003261363,0.0004818103,0.001222401,0.9944919,0.00004514607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004968976,0.00003214159,0.00003892473,0.0000326669,0.00002200613,0.000008984555,0.9987727,0.0004404843,0.00060244],"genre_scores_gemma":[0.0001846933,0.00003825293,0.000241248,0.00005213981,0.000006562173,0.00005939003,0.9983688,0.0002077789,0.0008411445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7152368,"threshold_uncertainty_score":0.9526277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315836322971227,"score_gpt":0.2263246229371667,"score_spread":0.2131662597074545,"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."}}