{"id":"W6936188184","doi":"10.57924/ruymla","title":"Specklegram database","year":2023,"lang":"en","type":"dataset","venue":"Papyrus","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute","funders":"","keywords":"Sequence (biology); Process (computing); Pattern recognition (psychology); Field (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001061511,0.005105979,0.002332486,0.003758201,0.0009712332,0.001533978,0.004280881,0.004158283,0.02558105],"category_scores_gemma":[0.002911195,0.001080793,0.002219582,0.003561709,0.0007629396,0.0007766485,0.001496289,0.00164326,0.03018848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009604709,"about_ca_system_score_gemma":0.001659045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02159488,"about_ca_topic_score_gemma":0.04160486,"domain_scores_codex":[0.9987794,0.0001790471,0.00009633476,0.0002601247,0.0005271714,0.0001578973],"domain_scores_gemma":[0.9983941,0.0004756342,0.00008024868,0.0004770751,0.0004454992,0.0001274826],"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":[0.0003998024,0.0004384294,0.0009931339,0.001363499,0.0001855619,0.0003150625,0.00005315383,0.01258504,0.002886091,0.0009744135,0.949366,0.03043973],"study_design_scores_gemma":[0.001914877,0.0004258414,0.01340305,0.0006378125,0.0002898582,0.001576223,0.0002851649,0.1050775,0.01933499,0.006751776,0.8499051,0.0003976646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009759898,0.0009339138,0.008320166,0.000326327,0.00032471,0.0003333645,0.9513784,0.02175441,0.006868734],"genre_scores_gemma":[0.004663659,0.0002023758,0.00517963,0.00007900941,0.00002114259,0.0001912722,0.9874587,0.0004470241,0.001757131],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02558105,"threshold_uncertainty_score":0.08557719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04033750636378091,"score_gpt":0.3103805111405163,"score_spread":0.2700430047767354,"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."}}