{"id":"W6888855377","doi":"10.22008/fk2/wp1tr3/vkleqe","title":"w250z10.rtl","year":2022,"lang":"cs","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":[0.0008895065,0.002785937,0.002023288,0.004233179,0.0007357004,0.00307227,0.004247547,0.002180233,0.2769437],"category_scores_gemma":[0.00495668,0.001285236,0.001462251,0.009642924,0.0005099776,0.001683261,0.002123939,0.001798354,0.3454863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118325,"about_ca_system_score_gemma":0.002105122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04683524,"about_ca_topic_score_gemma":0.06761198,"domain_scores_codex":[0.9991529,0.0001319372,0.00007769196,0.0002827383,0.0001743793,0.0001804108],"domain_scores_gemma":[0.9983621,0.0004350196,0.0001257307,0.0004725889,0.0004264197,0.0001781972],"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":[0.00002266989,0.000006211918,0.0001441773,0.0002254305,0.00001486529,0.000005722959,0.000009486055,0.0001844703,0.00003588758,0.0002424569,0.9983397,0.0007689676],"study_design_scores_gemma":[0.0002793579,0.00001259666,0.001597811,0.0001438392,0.00002711359,0.00002165479,0.00005558734,0.0004688179,0.0002040912,0.001311946,0.9958496,0.00002763697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003084314,0.0000144719,0.00004360366,0.00002317912,0.0000112046,0.000003387691,0.9989712,0.0004358298,0.00046631],"genre_scores_gemma":[0.0001762227,0.00002258915,0.0001558861,0.00002194841,0.000005214502,0.00003022267,0.9986614,0.0002521042,0.0006744622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7230563,"threshold_uncertainty_score":0.9264688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04500983883384664,"score_gpt":0.2779404908362142,"score_spread":0.2329306520023676,"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."}}