{"id":"W4238829336","doi":"10.26522/ti.v2i1.703","title":"Screen shot 7","year":2013,"lang":"en","type":"article","venue":"ti<","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polyglot; Shot (pellet); Mosaic; Computer science; Computer graphics (images); Art; Materials science; Visual arts; Programming language; Metallurgy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006022792,0.001579603,0.00117268,0.002311336,0.0008824175,0.002436473,0.001380996,0.001113668,0.7606565],"category_scores_gemma":[0.003452429,0.001098561,0.001217762,0.001748905,0.0002308851,0.00132235,0.001850335,0.001022595,0.50599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005137143,"about_ca_system_score_gemma":0.0007941888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006194704,"about_ca_topic_score_gemma":0.01285429,"domain_scores_codex":[0.9996415,0.00003839814,0.00001993609,0.00007231995,0.0001404897,0.0000873799],"domain_scores_gemma":[0.9984599,0.0004151447,0.0000553749,0.0003492263,0.0004902238,0.0002300573],"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":[0.0002636301,0.0000362061,0.0003978691,0.000171971,0.00002220302,0.00006544103,0.00004126012,0.000164534,0.001042073,0.0005250839,0.9807717,0.01649801],"study_design_scores_gemma":[0.0005469461,0.00006951552,0.006341453,0.0002189219,0.00006089954,0.0002168751,0.0001025268,0.003993882,0.006178683,0.005077705,0.9770631,0.0001295328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004018754,0.0003193723,0.0275559,0.0006821249,0.001246055,0.0005136575,0.5333854,0.292735,0.1395437],"genre_scores_gemma":[0.02554513,0.0004636767,0.04878962,0.001501342,0.0006026248,0.001526301,0.5340965,0.1688913,0.2185833],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2393435,"threshold_uncertainty_score":0.3413944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07186270495212575,"score_gpt":0.200672158651296,"score_spread":0.1288094536991702,"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."}}