{"id":"W4408737579","doi":"10.63485/zmvgh-f3125","title":"JMIR gets funded by Canada&amp;#39;s SSHRC","year":2008,"lang":"en","type":"preprint","venue":"","topic":"Medical Research and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Combinatorics; Genealogy; Mathematics; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001201979,0.0003260011,0.0005461687,0.00008332937,0.0008324874,0.00002211829,0.0007712177,0.0008521966,0.02573376],"category_scores_gemma":[0.004269169,0.0002497607,0.00008758873,0.00008740812,0.0001057516,0.00007907282,0.0009686647,0.006016959,0.001468237],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006309946,"about_ca_system_score_gemma":0.01585807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9109284,"about_ca_topic_score_gemma":0.9349533,"domain_scores_codex":[0.9942313,0.001489991,0.0007234978,0.0006348695,0.00160655,0.001313811],"domain_scores_gemma":[0.9933903,0.003591935,0.0003653747,0.0009293525,0.0003072631,0.001415831],"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":[0.00007777492,0.00004886126,0.000745497,0.0006280527,0.00006413372,0.00005650137,0.0003466711,6.58131e-7,0.00002467762,0.0001059431,0.9912386,0.006662646],"study_design_scores_gemma":[0.0003728119,0.00002176672,0.001452537,0.0002423422,0.000009688012,0.000001824407,0.0003230864,0.00003199006,0.00001471058,0.0007066284,0.9965569,0.0002657174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02012344,0.003348197,0.0007071379,0.04666173,0.002823104,0.002688656,0.0004841389,0.0002198217,0.9229438],"genre_scores_gemma":[0.08389045,0.03463382,0.002213226,0.03277086,0.00258092,0.002179158,0.001905571,0.0001132172,0.8397128],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08323099,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2843520882776486,"score_gpt":0.5566349883584845,"score_spread":0.2722829000808359,"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."}}