{"id":"W6926710875","doi":"10.25545/o8u6rn/tocyhw","title":"RGB.zip","year":2025,"lang":"de","type":"dataset","venue":"UNB Dataverse","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001361238,0.0006407708,0.0008074158,0.0005261483,0.0004205181,0.0008963177,0.003238708,0.0005441127,0.0845689],"category_scores_gemma":[0.000957756,0.0006003506,0.0002146832,0.0007183618,0.0004622044,0.0004114558,0.003262619,0.0008411758,0.1900071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001983728,"about_ca_system_score_gemma":0.001248614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001531051,"about_ca_topic_score_gemma":0.0002066572,"domain_scores_codex":[0.9949931,0.0003362318,0.0006952107,0.001452974,0.001218601,0.001303922],"domain_scores_gemma":[0.9951461,0.0003647347,0.0002714191,0.003569252,0.0001894542,0.0004590628],"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":[0.00007664513,0.0002919577,0.00001197208,0.0007090042,0.00008365027,0.0004599474,0.0000198793,0.000004471271,0.0008079678,0.0007056466,0.99603,0.0007988214],"study_design_scores_gemma":[0.0006598331,0.0001108622,0.0000106213,0.000489201,0.0001968222,0.000006342025,0.00009046661,0.00006789124,0.0008784509,0.00007508444,0.9968237,0.0005907029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002787143,0.0002344377,0.00003648319,0.0001476444,0.003982105,0.0005699344,0.9930687,0.00006836098,0.001613635],"genre_scores_gemma":[0.00003187217,0.003545021,0.0003955279,0.0006079,0.0009724917,0.00003663106,0.985321,0.00002366332,0.009065902],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1054382,"threshold_uncertainty_score":0.9996448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975928097456324,"score_gpt":0.3059291685768966,"score_spread":0.2861698876023333,"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."}}