{"id":"W4296847823","doi":"10.32920/ryerson.14636916.v2","title":"Author Rights: Maintaining Control over your Publications","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Medical Research and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control (management); Law and economics; Computer science; Political science; Law; Sociology; Artificial intelligence","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02272881,0.002399978,0.006030134,0.004148843,0.005252509,0.04511713,0.004012023,0.01210517,0.4403276],"category_scores_gemma":[0.1810369,0.002510509,0.001410319,0.01019683,0.0097728,0.0206329,0.009779798,0.01268797,0.6731124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004854318,"about_ca_system_score_gemma":0.01589227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002525385,"about_ca_topic_score_gemma":0.001690295,"domain_scores_codex":[0.9745957,0.002552593,0.002329294,0.00507408,0.01226327,0.003185147],"domain_scores_gemma":[0.8238917,0.05220802,0.01059372,0.05868414,0.04101438,0.01360804],"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":[0.0003680602,0.0003674124,0.002333865,0.0002565789,0.0001017653,0.0003915034,0.001893139,0.0003204816,0.003547884,0.1458292,0.6717844,0.1728058],"study_design_scores_gemma":[0.0002844442,0.0001093603,0.003622764,0.0004095144,0.0001200769,0.0008606616,0.0007429591,0.003262883,0.00740572,0.1339853,0.8490393,0.0001569307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.006317744,0.002575164,0.03007078,0.1073666,0.02022591,0.0006955274,0.01103616,0.01685391,0.8048583],"genre_scores_gemma":[0.08550853,0.00326682,0.007935564,0.006483821,0.01123327,0.0006605457,0.005632693,0.01720977,0.8620689],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9548829,"threshold_uncertainty_score":0.7983047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.280715226260977,"score_gpt":0.5819231909556842,"score_spread":0.3012079646947072,"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."}}