{"id":"W6966812867","doi":"10.48331/scielodata.z9zzeo/5psa1s","title":"SquareA.jpg","year":2023,"lang":"en","type":"dataset","venue":"SciELO - Scientific Electronic Library Online Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Square (algebra); Identification (biology); Work (physics)","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002749675,0.001765601,0.001445486,0.003810379,0.001596847,0.00351613,0.009573824,0.001019248,0.03247717],"category_scores_gemma":[0.0006467791,0.001728692,0.0006997062,0.01164335,0.002223652,0.006249091,0.004623844,0.003688474,0.5006942],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007156815,"about_ca_system_score_gemma":0.009310815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004364109,"about_ca_topic_score_gemma":0.002625035,"domain_scores_codex":[0.9844637,0.0005574692,0.001710321,0.004987968,0.00343485,0.004845688],"domain_scores_gemma":[0.988611,0.0004069514,0.001076268,0.008649377,0.0001969608,0.001059477],"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":[0.0001059874,0.0007725475,0.000006200925,0.0001962954,0.0002463217,0.0003189178,0.00002518446,0.00003409944,0.0001657385,0.0003039973,0.9975962,0.0002285338],"study_design_scores_gemma":[0.00110405,0.0002185345,0.00001890996,0.0002847032,0.0003477345,0.0000763538,0.0001397436,0.0004960473,0.0001515924,0.00164949,0.9936578,0.001855004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004308328,0.0002096162,0.000001616137,0.0003726397,0.008063549,0.001418049,0.9866338,0.002610848,0.0002590791],"genre_scores_gemma":[0.000006204329,0.000533753,0.0002472607,0.0004990623,0.001562976,0.00008797184,0.9418517,0.0005121791,0.0546989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.468217,"threshold_uncertainty_score":0.9997029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046425962828426,"score_gpt":0.2758524641614836,"score_spread":0.2553882045331993,"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."}}