{"id":"W7002384768","doi":"","title":"Nel ASA (OTCMKTS:NLLSF) Earns Buy Rating from Royal Bank of Canada | Daily Political","year":2021,"lang":"en","type":"other","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Politics; Government (linguistics); Work (physics); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001228009,0.0006612524,0.0006399339,0.001577525,0.003559129,0.004662581,0.001224834,0.002741583,0.7514991],"category_scores_gemma":[0.00646669,0.0005192932,0.000589092,0.0008802975,0.00101334,0.0009009591,0.001507448,0.002668507,0.5085331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009438331,"about_ca_system_score_gemma":0.03016511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4669974,"about_ca_topic_score_gemma":0.7734749,"domain_scores_codex":[0.998384,0.00007110083,0.00003227982,0.0001014944,0.0009080697,0.0005030647],"domain_scores_gemma":[0.9885995,0.0005340608,0.0001545403,0.0002851352,0.004526295,0.005900456],"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":[0.00003907319,0.00002679919,0.0002873381,0.00001699148,0.00000152016,0.0000347865,0.00001564367,0.00003330884,0.00007371068,0.001485123,0.9831707,0.01481502],"study_design_scores_gemma":[0.00002634594,0.00001664282,0.001156578,0.0000371704,0.000002206912,0.00003400933,0.00006805516,0.0001756814,0.0001103509,0.0003845073,0.9979803,0.000008117711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001042984,0.0002817507,0.0002728312,0.009304885,0.001492388,0.00009877374,0.007722998,0.001122296,0.9786612],"genre_scores_gemma":[0.001748046,0.00007180476,0.0001044605,0.0007771217,0.00008693499,0.000009727973,0.001149826,0.0002133248,0.9958388],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7514991,"threshold_uncertainty_score":0.9285583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334908844577107,"score_gpt":0.245359006698537,"score_spread":0.2320099182527659,"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."}}