{"id":"W6888752252","doi":"10.22008/fk2/cs5lka/asg4v6","title":"chrisz10.gsf","year":2021,"lang":"hu","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":[0.0009411371,0.003383978,0.002419086,0.004741623,0.00104822,0.003327322,0.003853053,0.002568253,0.2774748],"category_scores_gemma":[0.005042329,0.001365062,0.001461275,0.009572415,0.0005618315,0.00226549,0.002522483,0.001974566,0.3316165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640899,"about_ca_system_score_gemma":0.002248363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05175238,"about_ca_topic_score_gemma":0.07317506,"domain_scores_codex":[0.9989719,0.0001686589,0.00007559427,0.0003489166,0.000195091,0.0002398599],"domain_scores_gemma":[0.9981882,0.0005041418,0.0001250185,0.0005488746,0.0004273947,0.0002063142],"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":[0.00002233209,0.00000542435,0.0001249987,0.0002290106,0.00001055364,0.000005224452,0.00001119909,0.0001394042,0.00002258702,0.0002883112,0.9983499,0.0007911293],"study_design_scores_gemma":[0.000205279,0.00001001035,0.001264142,0.0001880941,0.00001913762,0.00002224316,0.00006154085,0.0003815638,0.0001882127,0.001432132,0.9962012,0.00002642924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002845681,0.00002310669,0.00003664221,0.00002469962,0.00001183687,0.000002955398,0.9986926,0.0005494695,0.0006302522],"genre_scores_gemma":[0.0001722407,0.00003046807,0.0001682805,0.00002425085,0.000004870722,0.0000287509,0.9986363,0.0002615934,0.0006731649],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7225252,"threshold_uncertainty_score":0.9282457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04456631800681164,"score_gpt":0.2773047768901303,"score_spread":0.2327384588833186,"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."}}