{"id":"W2606927186","doi":"10.1145/3081016.3081020","title":"Pilot Studies","year":2017,"lang":"en","type":"article","venue":"GetMobile Mobile Computing and Communications","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Human–computer interaction; Scale (ratio); Multimedia","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":[],"consensus_categories":[],"category_scores_codex":[0.0002430267,0.0001085984,0.0001244749,0.00001759945,0.001236849,0.00008034148,0.0007621295,0.00003084959,0.000002839603],"category_scores_gemma":[0.0002140407,0.00009815615,0.00003603433,0.00002274037,0.0003386941,0.000005277892,0.002019015,0.0001236125,0.000005830682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005468029,"about_ca_system_score_gemma":0.00001948513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000503182,"about_ca_topic_score_gemma":0.00007564166,"domain_scores_codex":[0.9993546,0.00005515276,0.0001420477,0.0002455036,0.00005106768,0.000151655],"domain_scores_gemma":[0.9974809,0.00003799191,0.0001208797,0.002190938,0.0001211142,0.00004822124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001047988,0.0007087587,0.05418292,0.0002141828,0.0006317426,0.000003560584,0.000821861,0.0002833005,0.1222836,0.007973455,0.02313735,0.7896545],"study_design_scores_gemma":[0.001982725,0.002393654,0.1097803,0.0002083877,0.0001110031,0.0001073745,0.001325107,0.002538275,0.01329613,0.001907618,0.8651666,0.001182867],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674981,0.02608511,0.00006930735,0.00105871,0.0002519639,0.0002895535,0.000005644906,0.00003448368,0.004707102],"genre_scores_gemma":[0.9908912,0.005709257,0.001847628,0.0001125545,0.000176867,0.00003773452,0.00003322343,0.00001129584,0.001180262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8420293,"threshold_uncertainty_score":0.951297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04912881267477763,"score_gpt":0.3644747948441281,"score_spread":0.3153459821693504,"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."}}