{"id":"W2310619103","doi":"10.13021/g8x88s","title":"What Is Open?","year":2016,"lang":"en","type":"article","venue":"Open Scholarship Initiative Proceedings","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Research Libraries","funders":"","keywords":"Open access publishing; Publishing; Computer science; World Wide Web; Point (geometry); Open data; Internet privacy; Public relations; Political science; Law; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics","scholarly_communication","open_science","insufficient_payload"],"category_scores_codex":[0.04922795,0.0002946607,0.0005654015,0.01667557,0.0007492942,0.08672636,0.01932286,0.0001974079,0.008601905],"category_scores_gemma":[0.06003523,0.0001622335,0.0001390987,0.09488698,0.0003041512,0.05150712,0.01230216,0.0004745157,0.006319865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002582361,"about_ca_system_score_gemma":0.000402921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000243975,"about_ca_topic_score_gemma":0.000005735565,"domain_scores_codex":[0.9880328,0.0001898377,0.0009698836,0.00176649,0.008052262,0.0009887572],"domain_scores_gemma":[0.9830456,0.00377705,0.0006432928,0.0007232783,0.01094595,0.000864758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001911501,0.0002790372,0.3439246,0.000006312711,0.00005410328,0.00001666837,0.001489551,1.74568e-8,0.006589234,0.02596689,0.1045997,0.5168828],"study_design_scores_gemma":[0.002682561,0.0005257964,0.190063,0.0002993344,0.00001120347,0.00002054985,0.004692727,0.00001838843,0.04877343,0.3895147,0.3626752,0.0007230999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5347187,0.0008359582,0.0006212327,0.04813303,0.001466731,0.00256636,0.0001245105,0.00006011369,0.4114734],"genre_scores_gemma":[0.9663749,0.0008032885,0.002060608,0.00569642,0.0001081328,0.0001448808,0.000001310393,0.00003308147,0.02477743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5161597,"threshold_uncertainty_score":0.9956862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7956964088141127,"score_gpt":0.6277129605866717,"score_spread":0.167983448227441,"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."}}