{"id":"W3165025421","doi":"","title":"New Honey Extractor for the McGill Apicultural Association","year":2015,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Bee Products Chemical Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Extractor; Association (psychology); Computer science; Engineering; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001543484,0.0004050975,0.0004435329,0.0000226276,0.001124843,0.000108538,0.0008613062,0.000370406,0.0003389364],"category_scores_gemma":[0.00321051,0.0001513607,0.0004336686,0.0008440439,0.0000438371,0.0007488115,0.000233769,0.0005678493,0.000351561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006891932,"about_ca_system_score_gemma":0.00001275604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137019,"about_ca_topic_score_gemma":0.001172362,"domain_scores_codex":[0.9967929,0.0002414143,0.0005538361,0.0008180501,0.0008261745,0.0007676659],"domain_scores_gemma":[0.9969603,0.001221041,0.0003976316,0.0002335907,0.0006248831,0.0005625886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001124827,0.000129615,0.0002933677,0.00001201337,0.0002046624,0.000002753165,0.000003164123,0.00001753917,0.7604352,0.007568922,0.001519172,0.2297012],"study_design_scores_gemma":[0.0006210767,0.0001764555,0.004420658,0.00002292818,0.0002318774,0.000009902118,0.0001283869,0.00004077392,0.2041238,0.01651886,0.773111,0.0005943009],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884116,0.0003007667,4.468571e-7,0.004526749,0.0006621475,0.0007129734,0.001807054,0.0002974253,0.003280858],"genre_scores_gemma":[0.9899846,0.00005819019,0.0008550736,0.001095525,0.0004438376,0.00007965929,0.0001771185,0.000008519054,0.00729749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7715918,"threshold_uncertainty_score":0.8651494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03980200147701442,"score_gpt":0.2241039122118295,"score_spread":0.1843019107348151,"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."}}