{"id":"W7035790293","doi":"","title":"Advent Technologies Announces Date for Fourth Quarter and Fiscal 2023 Earnings Call","year":2024,"lang":"en","type":"other","venue":"","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Fiscal year; Work (physics)","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":[0.001122146,0.0007674232,0.0004929052,0.001608119,0.002205617,0.005143094,0.000925732,0.003448704,0.6464174],"category_scores_gemma":[0.002807389,0.0006539343,0.0008678508,0.0005525608,0.0005027892,0.001824428,0.001827043,0.002453181,0.5685017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624327,"about_ca_system_score_gemma":0.004537144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03394504,"about_ca_topic_score_gemma":0.1002455,"domain_scores_codex":[0.9992042,0.0000323159,0.00001274175,0.00005191619,0.000566181,0.0001326694],"domain_scores_gemma":[0.9981061,0.0001378949,0.00005187576,0.0001219553,0.0007784922,0.0008036031],"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":[0.0000365288,0.00003780847,0.0001096706,0.000008450826,0.000001233943,0.00001478046,0.00000414253,0.00003756458,0.00009611783,0.000673048,0.9911582,0.00782247],"study_design_scores_gemma":[0.00003906936,0.00004951034,0.001071493,0.000025324,0.00000386173,0.00001641856,0.00005508355,0.0002857537,0.0002358909,0.0007531692,0.9974515,0.00001303949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001300622,0.000230823,0.000732391,0.005350181,0.004105419,0.0001938262,0.009777854,0.001976324,0.9763324],"genre_scores_gemma":[0.0009992153,0.00006023149,0.0001317264,0.0006293152,0.000131519,0.00003188357,0.001509291,0.0001370242,0.9963698],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6464174,"threshold_uncertainty_score":0.5043426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008611633967123694,"score_gpt":0.2038840263755494,"score_spread":0.1952723924084257,"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."}}