{"id":"W7055167740","doi":"","title":"Coffee #12 - Ottawa Coffee Crawl","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Bottling line; Wine tasting","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006338778,0.001445586,0.0008858749,0.00188026,0.006015111,0.006260177,0.001800024,0.001940977,0.8514389],"category_scores_gemma":[0.002515681,0.0008456051,0.000777941,0.002779192,0.0008266955,0.003449725,0.003837271,0.001666263,0.7415013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004091272,"about_ca_system_score_gemma":0.004694133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1610668,"about_ca_topic_score_gemma":0.5015418,"domain_scores_codex":[0.9993056,0.00005042354,0.00002285358,0.0001052419,0.0003212271,0.0001945214],"domain_scores_gemma":[0.9972748,0.0001090481,0.0000580888,0.0003575512,0.001039237,0.001161167],"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":[0.00002105865,0.000008434774,0.00006311516,0.00003085974,0.000001164107,0.00002014465,0.00004747084,0.00001163315,0.00009342514,0.0003553598,0.9920522,0.007295079],"study_design_scores_gemma":[0.000002767674,0.000003584404,0.0002488508,0.00001695264,0.000001125651,0.00001167985,0.00009977958,0.00001422857,0.00008178406,0.00007635359,0.9994369,0.000006016399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008797098,0.0006228663,0.001349949,0.001869411,0.002545674,0.0002839777,0.01917355,0.01220058,0.9610743],"genre_scores_gemma":[0.001970845,0.000247452,0.0005885873,0.0002887613,0.0001306581,0.00006644113,0.005080011,0.002528995,0.9890982],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1610668,"threshold_uncertainty_score":0.3202585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005519330406035823,"score_gpt":0.171050915337526,"score_spread":0.1655315849314901,"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."}}