{"id":"W6888770440","doi":"10.22008/fk2/cs5lka/gt43ad","title":"w50vgbw8.rtl","year":2022,"lang":"fr","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"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":[0.0008682532,0.003013624,0.00201067,0.004749676,0.0006712302,0.002966553,0.003200027,0.002388783,0.2017348],"category_scores_gemma":[0.004510703,0.00122146,0.001270987,0.009862239,0.0004658343,0.001733886,0.001994231,0.001752116,0.2911963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057038,"about_ca_system_score_gemma":0.001636832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03702571,"about_ca_topic_score_gemma":0.0529928,"domain_scores_codex":[0.9991452,0.0001367667,0.00008291264,0.0002823462,0.0001751261,0.000177778],"domain_scores_gemma":[0.9986513,0.0003599884,0.0001157588,0.0003812507,0.00035351,0.0001383433],"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":[0.00002308637,0.000006316912,0.000189892,0.0002840315,0.00001650058,0.000007547847,0.00001386465,0.0002012021,0.000042247,0.0002701356,0.9978893,0.001055808],"study_design_scores_gemma":[0.0001844048,0.00000968386,0.001670843,0.000195308,0.00002492952,0.00002528788,0.00006079841,0.0004104347,0.0001782592,0.001314749,0.9958999,0.00002533587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003481832,0.00002129008,0.00005047166,0.00002372703,0.00001033441,0.000003034419,0.9990216,0.0003783515,0.0004563168],"genre_scores_gemma":[0.0001514281,0.00002840339,0.0001705444,0.00001768948,0.000003903639,0.00002838027,0.9988532,0.0001915037,0.0005549265],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7982652,"threshold_uncertainty_score":0.6748703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04553673280496227,"score_gpt":0.2736657331203128,"score_spread":0.2281290003153505,"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."}}