{"id":"W7028134886","doi":"","title":"Don't bring me down: SSRN and the Institutional Repository","year":2014,"lang":"en","type":"article","venue":"","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knight; Watson; Legal research; Legal aspects of computing; Intellectual property; Law library","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":[],"consensus_categories":[],"category_scores_codex":[0.0003098942,0.00003827365,0.00008610913,0.00001349274,0.00008008236,0.00001167098,0.00004832697,0.00004573994,0.0001277087],"category_scores_gemma":[0.0002574673,0.00001737747,0.00002747085,0.00005092877,0.0005750122,0.00001746327,0.00006449225,0.0001891748,0.00002682697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001422977,"about_ca_system_score_gemma":0.00004353079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001324661,"about_ca_topic_score_gemma":0.000002737122,"domain_scores_codex":[0.9993988,0.0000185847,0.00008480553,0.0001009473,0.0002612725,0.0001355505],"domain_scores_gemma":[0.99959,0.0001449258,0.00000810064,0.0001022839,0.00002831266,0.0001263968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001717913,0.0003509445,0.01938751,0.0004886421,0.0002483044,0.0001062207,0.0003040166,5.601182e-7,0.2791974,0.4739802,0.01577213,0.2084461],"study_design_scores_gemma":[0.02160089,0.0004218684,0.07013481,0.0003911622,0.000160782,0.002050335,0.00047942,0.01245748,0.1606593,0.02651143,0.7046975,0.000435001],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6093909,0.0003866573,0.001174487,0.02351213,0.00008030888,0.000127153,3.582248e-7,0.000043808,0.3652842],"genre_scores_gemma":[0.9869964,0.00004029068,0.0001693836,0.001229011,0.0002641159,0.000004071657,0.000001942064,0.000002141459,0.01129265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6889254,"threshold_uncertainty_score":0.2118656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095975595853253,"score_gpt":0.2628435623005635,"score_spread":0.2518838063420309,"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."}}