{"id":"W6907343995","doi":"10.22008/fk2/cs5lka/txcxqj","title":"c50an6.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":[0.0008155626,0.002360675,0.001740332,0.004541457,0.0008716119,0.002856838,0.003097065,0.002032604,0.3269245],"category_scores_gemma":[0.00554296,0.001056755,0.001250714,0.009624398,0.0004388941,0.001416332,0.001769099,0.001579711,0.3482475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127026,"about_ca_system_score_gemma":0.002478188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06126213,"about_ca_topic_score_gemma":0.0974591,"domain_scores_codex":[0.9991335,0.0001327968,0.00008580241,0.0002667666,0.000188965,0.0001920964],"domain_scores_gemma":[0.997803,0.0005446159,0.0001898909,0.0005204949,0.0007125839,0.0002293698],"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":[0.00002163289,0.000004596443,0.0001664299,0.0002467652,0.00001067889,0.000005200412,0.000008218464,0.0001266561,0.00002808862,0.0002238035,0.9984242,0.0007339107],"study_design_scores_gemma":[0.0001961587,0.000009201743,0.001690579,0.0001906146,0.00002217479,0.00002053881,0.00004544807,0.0002851127,0.000140423,0.0008696156,0.9965094,0.00002077949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002052323,0.00001371064,0.00002520354,0.00002100405,0.000009484618,0.000002442623,0.999195,0.0001871708,0.0005253963],"genre_scores_gemma":[0.0001698016,0.00002667862,0.000143799,0.00002495421,0.000005841771,0.00002724022,0.9985474,0.0001731605,0.000881172],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6730754,"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."}}