{"id":"W3128488591","doi":"10.54590/pop.2020.009","title":"Public-Private Partnerships and the Digitization of the Textual and Cultural Record","year":2020,"lang":"en","type":"article","venue":"Pop! Public Open Participatory","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digitization; Scholarship; General partnership; Public relations; Digital scholarship; Sociology; Political science; Library science; Law; Engineering; Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02375595,0.0004495382,0.0004678284,0.003119334,0.01389486,0.02110332,0.002269443,0.004320208,0.01574406],"category_scores_gemma":[0.03346466,0.0006102403,0.0004783725,0.004459965,0.04766172,0.03143899,0.02822082,0.004976467,0.001793155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008226323,"about_ca_system_score_gemma":0.01150328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003723555,"about_ca_topic_score_gemma":0.00435765,"domain_scores_codex":[0.9698618,0.02162853,0.0006456898,0.001830146,0.004081839,0.001952001],"domain_scores_gemma":[0.9641448,0.02196113,0.0030039,0.007428098,0.001387348,0.002074694],"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":[0.00003431126,0.00006842787,0.001181134,0.0001444069,0.0000109604,0.0003658126,0.0816062,0.0003969238,0.0001841015,0.8737615,0.004106354,0.03813996],"study_design_scores_gemma":[0.00003826606,0.00007429496,0.0008780906,0.0005294483,0.00001696952,0.0006851025,0.06152627,0.0007489113,0.00049386,0.6304606,0.3045193,0.00002885066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1725909,0.01077209,0.1016375,0.07262149,0.0006587486,0.0003974682,0.0001721879,0.0002576852,0.6408918],"genre_scores_gemma":[0.9623282,0.002585409,0.005713967,0.001432668,0.0001705177,0.0001630649,0.00005764777,0.00008071004,0.02746785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02375595,"threshold_uncertainty_score":0.125635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4387810369069246,"score_gpt":0.3615642981108678,"score_spread":0.07721673879605678,"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."}}