{"id":"W6991995892","doi":"","title":"JUAL TITAN GEL ASLI DI BEKASI TIMUR 081282630622 TOKO JUAL TITAN GEL DI BEKASI COD","year":2020,"lang":"id","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Titan (rocket family); Research method; Operational costs","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007869097,0.0009148791,0.0007948591,0.001001137,0.001623996,0.003860451,0.0009337234,0.002392817,0.7540463],"category_scores_gemma":[0.001072451,0.0005443873,0.000676919,0.0005207207,0.000672599,0.001858051,0.002108109,0.002362127,0.5393233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008726648,"about_ca_system_score_gemma":0.001394858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003129358,"about_ca_topic_score_gemma":0.005895882,"domain_scores_codex":[0.9993487,0.00005268859,0.00003117956,0.0001372036,0.0003249344,0.0001052112],"domain_scores_gemma":[0.999225,0.00009146816,0.00004880829,0.00006284891,0.0003394804,0.0002322913],"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":[0.001285861,0.0005131193,0.0008008492,0.001155598,0.00003485127,0.0005087511,0.0004284812,0.0001184491,0.05474871,0.004974365,0.6955677,0.2398632],"study_design_scores_gemma":[0.00005539663,0.0002035006,0.002087662,0.0001399576,0.00001137383,0.0002520545,0.0002007655,0.0001374475,0.004597941,0.0003993396,0.9918938,0.0000206506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008147982,0.002912808,0.001807365,0.002870455,0.002911089,0.0004067137,0.002867775,0.002650525,0.9754253],"genre_scores_gemma":[0.006388758,0.0007117763,0.0007531836,0.000477015,0.0001073286,0.00008541067,0.0008832981,0.0005110126,0.9900823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2459537,"threshold_uncertainty_score":0.3508231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810693260483811,"score_gpt":0.2618335642338014,"score_spread":0.2437266316289633,"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."}}