{"id":"W6888837025","doi":"10.22008/fk2/wp1tr3/bwbgvp","title":"w50an6.rtl","year":2022,"lang":"mt","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":[0.0006745977,0.002231976,0.00156003,0.003977998,0.0006751562,0.002493897,0.002801902,0.001675647,0.2925929],"category_scores_gemma":[0.004429923,0.001069111,0.001116695,0.008716113,0.00037414,0.001457277,0.001741659,0.001417457,0.3223837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008657013,"about_ca_system_score_gemma":0.001684759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03995113,"about_ca_topic_score_gemma":0.0700945,"domain_scores_codex":[0.9993197,0.0001031116,0.00007299041,0.000214353,0.0001395656,0.0001501874],"domain_scores_gemma":[0.9984732,0.0003502791,0.0001616061,0.0003855636,0.0004580098,0.0001712849],"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":[0.00002546834,0.000006121169,0.0002358076,0.000275863,0.00001394426,0.000007177737,0.00001226951,0.0001414091,0.00004213573,0.0002475502,0.9979689,0.001023473],"study_design_scores_gemma":[0.0002158313,0.00001145543,0.002237755,0.0001828167,0.00002461973,0.00002172207,0.00006274213,0.0003140018,0.0001756496,0.001024281,0.9957081,0.000020804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003121053,0.00001284039,0.00003449555,0.0000217202,0.00001002733,0.000002535466,0.9991562,0.0002008835,0.0005299698],"genre_scores_gemma":[0.0002070379,0.00002582519,0.0001541717,0.00002145566,0.000005835333,0.00003044333,0.9983051,0.0001755682,0.001074718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7074071,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04600326544801407,"score_gpt":0.2760889252404288,"score_spread":0.2300856597924147,"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."}}