{"id":"W4224308015","doi":"10.3390/s22093186","title":"Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Occupancy; Training (meteorology); Computer science; Machine learning; Training set; Artificial intelligence; Engineering; Geography","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":[0.0005098351,0.000137081,0.0002036556,0.0002684295,0.0008069327,0.0001538267,0.001132674,0.00002882541,0.0001045972],"category_scores_gemma":[0.0001882057,0.0001509726,0.00005548679,0.001287384,0.00002562794,0.0006362113,0.001155445,0.0004365073,0.00001250215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149689,"about_ca_system_score_gemma":0.0001336636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002501346,"about_ca_topic_score_gemma":0.00001408301,"domain_scores_codex":[0.9980201,0.0004144911,0.0002558251,0.0006362615,0.0003777811,0.0002955146],"domain_scores_gemma":[0.9987414,0.0001522084,0.0001372863,0.0008378823,0.0000562517,0.00007492919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002425709,0.0005324323,0.02134444,0.00005151668,0.001298949,0.0005290545,0.09899677,0.5494894,0.07760464,0.0004415838,0.006749671,0.242719],"study_design_scores_gemma":[0.0002276698,0.00007291528,0.0009974323,0.00001314637,0.00003711873,0.00006563916,0.003428391,0.9909282,0.0001439654,0.00002451071,0.003905864,0.0001551193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.892644,0.00003757709,0.1052697,0.0001826541,0.0005147409,0.00010123,0.0001513645,0.0003716998,0.0007270036],"genre_scores_gemma":[0.9827572,0.000003118519,0.0163063,0.00006761325,0.00008735467,0.000005119796,0.0003274762,0.00001535049,0.0004305027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4414388,"threshold_uncertainty_score":0.6206355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07356807976357183,"score_gpt":0.2831314134841884,"score_spread":0.2095633337206166,"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."}}