{"id":"W6892106134","doi":"10.5065/d6pk0dcw","title":"Latnjajaure Site, CLIP 2-Control 2 Community Data. Version 1.0","year":2007,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research & Development Corporation","funders":"","keywords":"Data collection; Work (physics); Matching (statistics); Community practice; Identification (biology)","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":[],"consensus_categories":[],"category_scores_codex":[0.0006680653,0.001502321,0.001291921,0.003872213,0.0008607432,0.002097469,0.002589563,0.00154695,0.04880159],"category_scores_gemma":[0.003167123,0.0006143528,0.0010399,0.006132158,0.0003064256,0.00115896,0.001551575,0.001433604,0.0911657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045606,"about_ca_system_score_gemma":0.001912609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03921274,"about_ca_topic_score_gemma":0.069328,"domain_scores_codex":[0.9993277,0.00007806646,0.0000722264,0.0001881828,0.0001872403,0.0001466187],"domain_scores_gemma":[0.9985706,0.0002687937,0.0001336584,0.0003353193,0.0004897066,0.0002019231],"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":[0.0000603027,0.00003548689,0.001161497,0.0003794001,0.00002203757,0.0000292534,0.00002930525,0.0001991674,0.000160502,0.0002145228,0.9951665,0.002541941],"study_design_scores_gemma":[0.0001681683,0.00001670675,0.0112211,0.0001835769,0.00002718176,0.00006162748,0.0001936569,0.00048523,0.0003677878,0.0005900312,0.9866498,0.00003521559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002932532,0.0000312643,0.00005469474,0.00003078631,0.00002034917,0.000008732126,0.998758,0.0003159941,0.0004869899],"genre_scores_gemma":[0.0002895368,0.00001469701,0.0001561326,0.00001199753,0.000004640735,0.00003465799,0.9989355,0.0000698644,0.0004829727],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04880159,"threshold_uncertainty_score":0.1632576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05006329309766828,"score_gpt":0.2806754930128458,"score_spread":0.2306121999151775,"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."}}