{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005038578,0.000561338,0.0005675666,0.001275091,0.01695774,0.02356292,0.001455428,0.003836493,0.1090427],"category_scores_gemma":[0.01202502,0.0006386157,0.0004859128,0.001994943,0.006040944,0.01598229,0.006944759,0.006351771,0.05383444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004939424,"about_ca_system_score_gemma":0.004248239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008976932,"about_ca_topic_score_gemma":0.0282707,"domain_scores_codex":[0.9963982,0.001092584,0.0001022158,0.0004016007,0.001212567,0.000792672],"domain_scores_gemma":[0.993415,0.001300916,0.0002044408,0.0004296591,0.001054837,0.003595171],"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":[0.00006359151,0.000074367,0.002630163,0.0001165398,0.00000770103,0.000183579,0.009487287,0.00006052282,0.0005578334,0.05334562,0.8459917,0.08748119],"study_design_scores_gemma":[0.000004533369,0.00002257628,0.002716294,0.0002238433,0.000004729894,0.0001221897,0.02313344,0.00008222712,0.0002572671,0.01066561,0.9627382,0.00002920685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02910575,0.004297099,0.004549809,0.1810207,0.006318321,0.0001623376,0.0008001988,0.0009033778,0.7728423],"genre_scores_gemma":[0.2208463,0.005442547,0.01070077,0.08181423,0.001807301,0.0002907161,0.001106757,0.003390662,0.6746007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1090427,"threshold_uncertainty_score":0.3647842,"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."}}