{"id":"W6987283510","doi":"","title":"Solaria Energía y Medio Ambiente (OTCMKTS:SEYMF) Upgraded to Outperform by Royal Bank of Canada","year":2022,"lang":"es","type":"other","venue":"","topic":"Urban Arborization and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Context (archaeology); Investment (military)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002039595,0.0006622474,0.0007046416,0.00009052129,0.0004293873,0.00003581156,0.0008263722,0.0001822879,0.4347887],"category_scores_gemma":[0.00003865738,0.0006164381,0.0001492897,0.0003778653,0.0003218646,0.00006525528,0.001307809,0.0003470357,0.0007452135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00191047,"about_ca_system_score_gemma":0.000101802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5740095,"about_ca_topic_score_gemma":0.5033006,"domain_scores_codex":[0.9958807,0.00009655196,0.0006586065,0.000939496,0.001622665,0.0008019648],"domain_scores_gemma":[0.9985479,0.00004713933,0.0003174062,0.0005934105,0.000005631456,0.0004885643],"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":[0.00003006795,0.0002065358,0.04591537,0.00003025559,0.0001751402,0.000008090748,0.0002953357,0.0006503835,0.001376087,0.0001213658,0.9496884,0.001503022],"study_design_scores_gemma":[0.0004785438,0.0001945123,0.03272226,0.00002447985,0.00006858612,0.000001357329,0.0006474886,0.000177753,0.001720153,0.000004562258,0.9632665,0.000693791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01660266,0.0008003762,0.00009605448,0.001957527,0.001577635,0.0008577146,0.000964861,0.00006268053,0.9770805],"genre_scores_gemma":[0.137746,0.0005041077,0.0002909324,0.002614329,0.000109701,0.00007881652,0.0002082627,0.0002106895,0.8582372],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4340434,"threshold_uncertainty_score":0.9996287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004318767491985114,"score_gpt":0.1663873696186955,"score_spread":0.1620686021267104,"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."}}