{"id":"W6888706440","doi":"10.22008/fk2/cs5lka/uzjahv","title":"w50acbw8.rtl","year":2021,"lang":"fr","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009292322,0.002924309,0.002327958,0.004771229,0.0008078172,0.003075646,0.003596575,0.002469668,0.2195916],"category_scores_gemma":[0.005289738,0.00137074,0.001209809,0.01126314,0.0004971277,0.002104684,0.002076508,0.001933944,0.2912432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238127,"about_ca_system_score_gemma":0.002068015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05151087,"about_ca_topic_score_gemma":0.06864741,"domain_scores_codex":[0.9990699,0.0001559976,0.00009515414,0.0002920933,0.0001841844,0.0002027997],"domain_scores_gemma":[0.9983118,0.0004503186,0.0001456899,0.0004605931,0.0004556361,0.0001759779],"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":[0.00002224743,0.000006000185,0.0001716891,0.0002679143,0.00001413971,0.000006550664,0.00001341796,0.0001767682,0.00002977444,0.0003023537,0.9980636,0.0009255604],"study_design_scores_gemma":[0.0001832359,0.000009156169,0.001504247,0.0001988845,0.00001863037,0.00002049413,0.00006455118,0.0003666762,0.0001512132,0.001391423,0.9960673,0.0000241546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002634107,0.00001970935,0.0000380174,0.00002083194,0.000009999982,0.000002736256,0.9991887,0.0002736895,0.000419987],"genre_scores_gemma":[0.0001533733,0.00003002188,0.0001540517,0.00001904329,0.000004729241,0.00003549744,0.9988294,0.0001719738,0.0006018238],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7804084,"threshold_uncertainty_score":0.7346071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04658591924462772,"score_gpt":0.2760015378771337,"score_spread":0.229415618632506,"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."}}