{"id":"W6889183235","doi":"10.25549/impa-m69647","title":"Fishing boats and island, Yangtze River, China, ca.1920-1930","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; China; Yangtze river; Population; Quarter (Canadian coin)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003685584,0.001644835,0.001026316,0.005721625,0.0008554946,0.001868436,0.001831229,0.0006848139,0.03940791],"category_scores_gemma":[0.002152883,0.000716768,0.0005776302,0.01621744,0.000331668,0.001136587,0.001256731,0.0009992098,0.0343634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627842,"about_ca_system_score_gemma":0.003723921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3153095,"about_ca_topic_score_gemma":0.429735,"domain_scores_codex":[0.9995943,0.00002296798,0.00005955356,0.0001157382,0.0001113651,0.00009603152],"domain_scores_gemma":[0.9988605,0.0001094829,0.0002194641,0.0001262864,0.0005387923,0.0001455408],"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":[0.00004133888,0.00001350797,0.007842414,0.0005590617,0.00004168103,0.00002900277,0.00006685549,0.0001509635,0.00004498583,0.0002678492,0.9880151,0.002927162],"study_design_scores_gemma":[0.0002015605,0.00001456886,0.1083123,0.0004635212,0.000078938,0.0000693893,0.0005129523,0.0002946067,0.0002201642,0.0002914589,0.8894984,0.00004204097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000331468,0.00006168555,0.00001112025,0.00002060839,0.000009502473,0.000003061919,0.9990857,0.00004884911,0.000428074],"genre_scores_gemma":[0.001136305,0.0001082554,0.0000558003,0.0000156395,0.000006298006,0.00003458886,0.9973689,0.00001807172,0.001256125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3153095,"threshold_uncertainty_score":0.6269484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006412182812312141,"score_gpt":0.1623629800586292,"score_spread":0.155950797246317,"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."}}