{"id":"W6948248627","doi":"10.48660/21110043","title":"Discriminating between theories of the very early universe","year":2021,"lang":"en","type":"other","venue":"PIRSA","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Universe; Feature (linguistics); Generalization; Set (abstract data type)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006770515,0.0001441891,0.000237877,0.00003821169,0.00005186946,0.00002271342,0.0004293711,0.0001918305,0.006738736],"category_scores_gemma":[0.00007327018,0.00009696696,0.000141971,0.0001149732,0.0001726553,0.00001404523,0.000415788,0.0003416273,0.00001549552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002346629,"about_ca_system_score_gemma":0.00009939836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003704922,"about_ca_topic_score_gemma":0.00007351509,"domain_scores_codex":[0.9991509,0.00003789601,0.0001197016,0.000192728,0.0003056451,0.000193093],"domain_scores_gemma":[0.9992469,0.000103688,0.0001229489,0.0004578252,0.00003011455,0.00003852377],"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":[0.00005915961,0.0006009195,0.1338555,0.01698332,0.003597633,0.0003398405,0.009789119,0.00000274182,0.09741063,0.05887399,0.5320524,0.1464347],"study_design_scores_gemma":[0.000757955,0.00002963225,0.002547169,0.005312623,0.0002771056,0.00000341308,0.004213259,0.000002808091,0.1126289,0.002456518,0.8710403,0.0007302173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00957783,0.0004895724,0.000004511002,0.0001014505,0.00008725433,0.00004097979,0.0001322264,0.00003605997,0.9895301],"genre_scores_gemma":[0.3559801,0.00003481608,0.00002597769,0.000004367923,0.0004621169,0.000002232842,0.00002989623,0.0001102054,0.6433503],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3464023,"threshold_uncertainty_score":0.9941692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213914013654263,"score_gpt":0.2654949629814084,"score_spread":0.2441035616159821,"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."}}