{"id":"W3091125681","doi":"","title":"New Nova Candidates from the RSBE M31 Nova Survey","year":2015,"lang":"en","type":"article","venue":"American Astronomical Society Meeting Abstracts #225","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova (rocket); Nova scotia; Metis; Geography; Computer science; Archaeology; Engineering; World Wide Web","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":[0.000920019,0.0004067153,0.0005304223,0.003151862,0.001162154,0.001233105,0.00034468,0.0004229372,0.004501265],"category_scores_gemma":[0.001499993,0.000256564,0.0003333083,0.001526078,0.000264124,0.0005163198,0.001504055,0.0004109136,0.001868316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004678132,"about_ca_system_score_gemma":0.0004499043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004398647,"about_ca_topic_score_gemma":0.02620347,"domain_scores_codex":[0.9993512,0.00006906687,0.00003665565,0.0001283802,0.0002131725,0.0002015559],"domain_scores_gemma":[0.9981576,0.0001946489,0.0004572014,0.000211188,0.000237846,0.000741572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000414025,0.0000734533,0.9520243,0.0001024153,0.00009337643,0.0009560707,0.0005347555,0.0001899321,0.009010309,0.00120682,0.008436913,0.02695769],"study_design_scores_gemma":[0.000009968842,0.00003516899,0.9903466,0.00001669628,0.00002030954,0.0005133552,0.0001716906,0.0001312749,0.0002357113,0.0001549252,0.00835789,0.000006513232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819406,0.001987201,0.0004799895,0.0004209001,0.00009489976,0.00004549533,0.002342524,0.00004897873,0.01263945],"genre_scores_gemma":[0.9865997,0.0006879005,0.0006151759,0.0002563664,0.0001017385,0.00004337948,0.006173131,0.00003474909,0.005487916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004501265,"threshold_uncertainty_score":0.01505822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539601655224955,"score_gpt":0.2971374013171693,"score_spread":0.2617413847649198,"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."}}