{"id":"W2964927575","doi":"","title":"Copyright and Student Publishing","year":2019,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Library science; Business; Computer science; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004764762,0.0004630218,0.000835448,0.002334649,0.004461004,0.02208689,0.001127214,0.003150254,0.1999903],"category_scores_gemma":[0.02343724,0.0002909637,0.0003268375,0.005887939,0.004254985,0.007833347,0.003266254,0.002837532,0.05709868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003301748,"about_ca_system_score_gemma":0.006115038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004502943,"about_ca_topic_score_gemma":0.008300771,"domain_scores_codex":[0.9962395,0.0006568618,0.0002494108,0.0004921972,0.001904518,0.000457375],"domain_scores_gemma":[0.987163,0.002607648,0.0009395865,0.002856095,0.003753768,0.002680004],"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":[0.00003729388,0.00002843076,0.000585479,0.0001832944,0.000007111257,0.00006490116,0.0007719613,0.0000535055,0.000128001,0.2393129,0.6403247,0.1185025],"study_design_scores_gemma":[0.000003568844,0.000009288163,0.0004946188,0.000150288,0.000002873072,0.00003567627,0.0002146754,0.00002559728,0.00005255172,0.01451653,0.9844902,0.000004082567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001656624,0.01692846,0.0004834172,0.02962569,0.02260053,0.00003657377,0.0004945943,0.000178408,0.9279957],"genre_scores_gemma":[0.03245736,0.01145935,0.000342797,0.004076335,0.008387613,0.00004311074,0.0004686565,0.0002606999,0.942504],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.995497,"threshold_uncertainty_score":0.6690343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009636780389879453,"score_gpt":0.1985659326095733,"score_spread":0.1889291522196938,"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."}}