{"id":"W6907879565","doi":"10.25549/examiner-c44-109223","title":"Ice at Griffith Park Crystal Drive, 1953","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crystal (programming language); Ice crystals; Slip (aerodynamics); Ice age","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":[0.0003829182,0.001220892,0.0009551666,0.002136562,0.001022671,0.002818229,0.001356311,0.0008778174,0.2052779],"category_scores_gemma":[0.002580044,0.0006119224,0.0006214997,0.006041036,0.0003188219,0.001710006,0.001412,0.001302084,0.2666908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775331,"about_ca_system_score_gemma":0.002075761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1049528,"about_ca_topic_score_gemma":0.2193801,"domain_scores_codex":[0.9996017,0.00003812841,0.00003305087,0.0001226258,0.0001130058,0.00009168722],"domain_scores_gemma":[0.9989073,0.000127857,0.00009254085,0.0002189706,0.0004974509,0.0001559465],"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":[0.000009843714,0.000002120395,0.0001558839,0.00007132232,0.000002250213,0.000003829677,0.000007546063,0.00002699881,0.00001156203,0.0001532095,0.9988092,0.000746303],"study_design_scores_gemma":[0.00002796258,0.000002288388,0.002469888,0.0001024516,0.000003895762,0.00001176481,0.00006477604,0.00005089394,0.00006301512,0.0002842511,0.9969116,0.000007360686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006458414,0.00006097984,0.00002265389,0.00005216743,0.00003471159,0.000003654257,0.9954721,0.0002123621,0.004076788],"genre_scores_gemma":[0.0004484506,0.00008420466,0.000145418,0.00004037576,0.00001360079,0.00002223558,0.9940261,0.0001581936,0.00506151],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2052779,"threshold_uncertainty_score":0.6867231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006011574930245192,"score_gpt":0.1555516864599731,"score_spread":0.1495401115297278,"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."}}