{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008472141,0.002367508,0.002533646,0.005802964,0.001135519,0.004676928,0.00286919,0.002336373,0.5797749],"category_scores_gemma":[0.009657849,0.000934878,0.001336168,0.01068995,0.0006506974,0.002882798,0.00390764,0.001752014,0.5855629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149156,"about_ca_system_score_gemma":0.002372392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0118286,"about_ca_topic_score_gemma":0.02149214,"domain_scores_codex":[0.9989849,0.0001634189,0.000109188,0.0003650351,0.0001779618,0.0001995411],"domain_scores_gemma":[0.9960648,0.001270225,0.0003413313,0.0009019976,0.0009148754,0.0005066399],"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":[0.00003144986,0.000007914329,0.0001579664,0.0007177342,0.000009582442,0.000005838221,0.00001270529,0.00003930637,0.00004656934,0.0002481762,0.997537,0.001185695],"study_design_scores_gemma":[0.0002021829,0.00001244219,0.000910759,0.0003585162,0.00001563619,0.00001946117,0.00005509422,0.00008055391,0.0001405868,0.00093309,0.9972538,0.00001792929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003800296,0.00006057626,0.00003532038,0.00006788893,0.00003406794,0.00001370542,0.9970571,0.000550849,0.002142513],"genre_scores_gemma":[0.0004003387,0.0001168699,0.0002170003,0.0001449316,0.00002628033,0.0001145808,0.9956808,0.0004318826,0.002867217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4202251,"threshold_uncertainty_score":0.5994002,"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."}}