{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008480339,0.0009669058,0.0009817736,0.0004162907,0.0003150819,0.0006135055,0.001636546,0.0006801776,0.0009572488],"category_scores_gemma":[0.003789265,0.0004037978,0.0005928189,0.0005247716,0.0005577517,0.0011139,0.001256795,0.001189275,0.0003305826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000541846,"about_ca_system_score_gemma":0.0008239025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007768196,"about_ca_topic_score_gemma":0.01027415,"domain_scores_codex":[0.9994218,0.0001432806,0.00002957622,0.0002015892,0.0001051556,0.00009858591],"domain_scores_gemma":[0.998027,0.001044301,0.0002048162,0.0003370041,0.0002989363,0.0000877347],"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":[0.0005095371,0.0003559896,0.01269407,0.00009636272,0.00007300025,0.0001319213,0.0001700051,0.8364303,0.004325062,0.0009912892,0.001213523,0.1430089],"study_design_scores_gemma":[0.000005001369,0.00002490083,0.0007500055,0.000002066231,0.000003853361,0.000006182844,0.00001006297,0.9977826,0.0009586657,0.0003680397,0.00008490818,0.000003693734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3020912,0.0002415162,0.6916725,0.0001912038,0.00007084552,0.00008566742,0.0003543877,0.00277003,0.002522694],"genre_scores_gemma":[0.9641761,0.00004245484,0.03448023,0.00005368546,0.00002682421,0.00006521639,0.0004413677,0.00003548582,0.0006786067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007768196,"threshold_uncertainty_score":0.01544595,"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."}}