{"id":"W6944931978","doi":"10.22008/fk2/cs5lka/p7mhek","title":"cz10a4.rtl","year":2022,"lang":"pl","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":[0.001051645,0.003342124,0.002030983,0.006543591,0.0008201887,0.003841702,0.003816681,0.002748911,0.3049334],"category_scores_gemma":[0.006642966,0.00151887,0.001757231,0.01140206,0.0006277245,0.001561769,0.002379369,0.002129826,0.3520914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578296,"about_ca_system_score_gemma":0.003155176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05782732,"about_ca_topic_score_gemma":0.07457991,"domain_scores_codex":[0.9989247,0.0001652138,0.0001118998,0.0003086709,0.0002308588,0.0002585863],"domain_scores_gemma":[0.9975298,0.0006635338,0.0002309414,0.0006327313,0.0006083188,0.0003346205],"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":[0.00003505805,0.000008693777,0.0002483992,0.000368392,0.00002113165,0.000009011658,0.00001696629,0.0003239603,0.00004980179,0.0002940802,0.9975384,0.001086027],"study_design_scores_gemma":[0.0003464366,0.00001446799,0.001893089,0.0002257531,0.00003634243,0.00002923088,0.00007645608,0.0005938303,0.000206615,0.001493801,0.9950476,0.00003641015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002804273,0.00001574197,0.00003464023,0.00002104418,0.00000852309,0.00000332738,0.9992525,0.000281383,0.0003548004],"genre_scores_gemma":[0.0001740912,0.0000270641,0.0001947817,0.00002503942,0.000004484665,0.00004310683,0.9986365,0.0002096667,0.0006852794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6950666,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04689262454712859,"score_gpt":0.2769657965724502,"score_spread":0.2300731720253216,"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."}}