{"id":"W6963931687","doi":"10.25549/impa-c123-78955","title":"Old Chamba, Chamba, India, ca.1910","year":2014,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Product (mathematics); Bit (key); Independent state; 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":[0.000323513,0.001218257,0.0008264194,0.003113719,0.0006631808,0.001778793,0.001196229,0.0006689621,0.06172791],"category_scores_gemma":[0.002358021,0.0003311886,0.000388449,0.009384679,0.0003103559,0.0009719632,0.000955543,0.000777623,0.05647901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102519,"about_ca_system_score_gemma":0.002509198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08580949,"about_ca_topic_score_gemma":0.1793299,"domain_scores_codex":[0.9996948,0.00003234626,0.00003553802,0.00009877671,0.00007668398,0.00006190161],"domain_scores_gemma":[0.9992017,0.0001549564,0.0001236202,0.0001347783,0.0002809048,0.000104089],"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":[0.00006762325,0.000007685519,0.001747524,0.0008786879,0.00002479927,0.00002973927,0.00003020091,0.0001104413,0.00007660489,0.0004477538,0.9928692,0.003709654],"study_design_scores_gemma":[0.00006571655,0.000007687751,0.0106345,0.0003992222,0.00002480246,0.00005154876,0.0001494877,0.00008685992,0.0001571529,0.0004900747,0.9879177,0.00001527707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00012501,0.0001450849,0.00001274,0.00003789968,0.00001257558,0.000002229987,0.9987237,0.00008995255,0.000850779],"genre_scores_gemma":[0.0008166887,0.0002130878,0.00007237666,0.00003261584,0.000007798913,0.00001905218,0.9974235,0.0000242895,0.001390584],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08580949,"threshold_uncertainty_score":0.2065004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006715386616023993,"score_gpt":0.1784853032694032,"score_spread":0.1717699166533792,"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."}}