{"id":"W4311227739","doi":"10.1088/1742-6596/2414/1/011001","title":"Preface","year":2022,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Library science; Computer science; Political science; Law","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":[0.0002297656,0.00006378657,0.0001241881,0.00003897588,0.0001529235,0.0001076977,0.0008093761,0.00001053167,0.00005751214],"category_scores_gemma":[0.00001646246,0.00005558758,0.00006805602,0.0002622398,0.00004132299,0.0009348264,0.0002219098,0.0002196305,0.000003738888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003740585,"about_ca_system_score_gemma":0.0002285968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001205113,"about_ca_topic_score_gemma":1.027085e-7,"domain_scores_codex":[0.9991844,0.00006705015,0.000207828,0.00008370855,0.0003595353,0.00009745965],"domain_scores_gemma":[0.9991533,0.00002113137,0.0003068933,0.0001941057,0.0002849131,0.00003970824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001728729,0.00008221681,0.00005680154,0.000007366064,0.00001568304,0.00001239181,0.00101525,0.00001535764,0.02985805,0.7080818,0.0009424667,0.2598953],"study_design_scores_gemma":[0.0001576678,0.000570903,0.0004151835,0.00001069168,0.000006884408,0.0001513551,0.0004514117,0.0005235584,0.7776432,0.1761454,0.04377536,0.0001483411],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001721756,0.00007048677,0.994105,0.002124417,0.0002472199,0.0000408653,0.000002320012,0.00004522476,0.00164264],"genre_scores_gemma":[0.9833725,0.00004120396,0.01556169,0.0001188237,0.00007034318,0.0000043155,4.420192e-7,0.000003726792,0.0008269366],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9816508,"threshold_uncertainty_score":0.2266796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02794001847434263,"score_gpt":0.2497958669815492,"score_spread":0.2218558485072065,"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."}}