{"id":"W3114594756","doi":"10.5703/1288284317159","title":"Tip of the Iceberg, Part 1: Choosing What Shows","year":2020,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Computer science; Subject (documents); Information retrieval; World Wide Web; Order (exchange)","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":[],"consensus_categories":[],"category_scores_codex":[0.00003293759,0.00005052652,0.00005975745,0.00001655801,0.0000632815,0.0004235162,0.0005294313,0.00001537302,0.000121738],"category_scores_gemma":[0.00002603102,0.00003061831,0.00004324652,0.0004827108,0.00001882631,0.001906487,0.0003058637,0.00003591324,0.00002937015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004419174,"about_ca_system_score_gemma":0.000053178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001368611,"about_ca_topic_score_gemma":0.000001164954,"domain_scores_codex":[0.9994781,0.00001562359,0.0001132041,0.0001307039,0.0001742,0.00008815357],"domain_scores_gemma":[0.9997095,0.00003579181,0.0000368068,0.0001474535,0.00001563074,0.00005482731],"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":[0.00003456352,0.0001292505,0.03909073,0.0000735517,0.00009428212,0.000007272819,0.01214109,0.0003170978,0.0021485,0.1487813,0.4421579,0.3550245],"study_design_scores_gemma":[0.0002872221,0.00005149353,0.004800478,0.00004374745,0.000002675301,0.000003257741,0.000300549,0.01218283,0.07651804,0.002257971,0.9033405,0.0002112071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1230763,0.0005709645,0.04701291,0.06273644,0.001623369,0.0003889597,9.281381e-7,0.000542211,0.7640479],"genre_scores_gemma":[0.9676197,0.00002131921,0.003385836,0.0092415,0.00008457556,0.000003368668,3.348482e-7,0.000004742069,0.0196386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8445434,"threshold_uncertainty_score":0.4083976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913149973742488,"score_gpt":0.1932207443449298,"score_spread":0.164089244607505,"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."}}