{"id":"W6969467905","doi":"10.5683/sp3/wu14sm","title":"Bioline Platform database and files","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Publishing; Electronic publishing; Visibility; Public access; The Internet; Public domain; Domain (mathematical analysis); Knowledge base; Resource (disambiguation)","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"],"consensus_categories":[],"category_scores_codex":[0.0002654393,0.0004380429,0.000485867,0.0004397488,0.0001262498,0.00009782621,0.0005411881,0.000322697,0.0002317243],"category_scores_gemma":[0.0004585796,0.0003899917,0.00006734081,0.0002711994,0.0001835512,0.0001610768,0.0006063093,0.0003889928,0.00006738957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007425878,"about_ca_system_score_gemma":0.0002017171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1262974,"about_ca_topic_score_gemma":0.08410799,"domain_scores_codex":[0.9983616,0.00003358126,0.0003461839,0.0005800257,0.0003103597,0.0003682615],"domain_scores_gemma":[0.9977466,0.0001689287,0.0001966678,0.001645085,0.00007279683,0.0001699097],"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":[0.00005239229,0.00005597731,0.000002978401,0.0002988357,0.00007567364,0.00008599974,0.000004756502,1.841313e-7,0.000009828681,0.00008551931,0.9989921,0.0003357806],"study_design_scores_gemma":[0.0004143148,0.00002389922,0.00007350703,0.0003110901,0.0002366683,0.00001751675,0.00001104992,0.00001151681,0.00003999793,0.00006214892,0.9984112,0.000387024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003077536,0.0007885205,0.000001524247,0.000050435,0.0001021149,0.0003023107,0.9976116,0.0001179591,0.001022466],"genre_scores_gemma":[2.310889e-7,0.001457092,0.0002110518,0.0002817161,0.000312544,0.00005276318,0.9974575,0.00003470899,0.0001923777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04218939,"threshold_uncertainty_score":0.9998552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553768551287213,"score_gpt":0.2942882865663499,"score_spread":0.2687506010534778,"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."}}