{"id":"W6888780261","doi":"10.22008/fk2/cs5lka/vsyk3u","title":"c50an1.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":[0.001102704,0.002814702,0.002115413,0.004723204,0.000931234,0.003112227,0.003532294,0.002565031,0.2869112],"category_scores_gemma":[0.005804064,0.001200593,0.001489111,0.009304328,0.0005086069,0.001577503,0.001962821,0.00183765,0.3091332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591385,"about_ca_system_score_gemma":0.002760788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06769934,"about_ca_topic_score_gemma":0.09864751,"domain_scores_codex":[0.9989519,0.0001744765,0.00009698613,0.0003213153,0.0002233671,0.0002319058],"domain_scores_gemma":[0.9977604,0.0006620304,0.0001686614,0.0005656083,0.0006258361,0.0002173986],"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":[0.00002097965,0.000005204349,0.0001515524,0.0002830522,0.00001410755,0.000005576534,0.000009207135,0.0001976596,0.0000296835,0.0002768285,0.9982466,0.0007596767],"study_design_scores_gemma":[0.000228627,0.000009844362,0.001477155,0.0002082566,0.00002533756,0.00002218846,0.0000433209,0.000400426,0.0001523194,0.001153747,0.9962521,0.00002662839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002026977,0.00001585378,0.00003300986,0.00002235208,0.000009380707,0.000003040536,0.9991748,0.0002408871,0.0004803866],"genre_scores_gemma":[0.0001459956,0.00002588819,0.0001700906,0.00002615209,0.000004705498,0.00003146237,0.9987792,0.0001914273,0.0006250453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7130888,"threshold_uncertainty_score":0,"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."}}